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Manager Reference Data Product Management jobs at Intercontinental Exchange - Ice in United Kingdom, South Somerset

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United Kingdom
South Somerset
40 jobs found
20.09.2025
IE-

Intercontinental Exchange - ICE Market Data Operations Analyst United Kingdom, England, South Somerset

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implement a comprehensive approach to the use and maintenance of data, technology, artificial intelligence (“AI”), specifically focusing on machine learning (“ML”) and Large Language Models (“LLM”) for regulatory purposes;. design...
Description:

Job Purpose

The New York Stock Exchange (an Intercontinental Exchange company) is seeking a data scientist to serve as an expert member of NYSE Regulation (“NYSER”). The individual who fills this role will work closely with the other members of the NYSER data scientist team. The primary responsibilities of the individual in this position will be to:

  1. implement a comprehensive approach to the use and maintenance of data, technology, artificial intelligence (“AI”), specifically focusing on machine learning (“ML”) and Large Language Models (“LLM”) for regulatory purposes;
  2. design analytical and econometric models of trading activity (including with respect to digital assets and blockchain data) and provide direct data analytics and AI support to groups across the NYSER program, including to NYSER Surveillance & Investigations, NYSER Enforcement, and NYSER Issuer Regulation; and
  3. provide thought leadership on how to strategically enhance NYSER’s data and regulatory technology program, including by leveraging various data sources and by implementing AI and ML across platforms.

NYSER is responsible for monitoring activities on the NYSE’s equities and options markets, and for addressing non-compliance with the NYSE Exchanges’ rules and federal securities laws. NYSER enforces both the NYSE Exchanges’ and their members' compliance with NYSE Exchange rules and applicable federal securities requirements. NYSER also monitors and enforces listed companies’ compliance with applicable listing standards of the NYSE Exchanges. By performing these duties, NYSER supports the NYSE Exchanges’ efforts to promote just and equitable principles of trade, encourage free and open markets, and protect investors and the public interest.

Responsibilities

  • Serve as the data and AI/ML expert for NYSER
  • Explore predictive modeling, ML, LLMs and advanced statistical methods and integrate that technology into NYSER’s program
  • Analyze trading data to identify, develop and investigate enforcement cases, and distill the analyses into easily understood visual representations for non-technical stakeholders
  • Collaborate with other subject matter experts to define requirements and specifications for new surveillance patterns and enhancements to existing surveillances
  • Implement a comprehensive approach to the use and maintenance of data and technology for regulatory purposes
  • Provide thought leadership on how to strategically enhance NYSER’s data and AI/ML program, including use of the trading and other data to enhance regulatory functions
  • Design analytical and econometric models and perform analyses on vast quantities of data to identify trends in market activity that implicate the surveillance and enforcement programs
  • Facilitate communications between teams with differing levels of expertise on data and technology issues
  • Work with technology teams to identify required data sources and tools to load/incorporate data into NYSER systems and normalize and aggregate data sets when necessary
  • Establish workflows and documentation protocols based on data science best practices to ensure project plans, data models, and other work product can be clearly communicated to various stakeholders
  • Apply data science methods to analyze digital assets and blockchain data
  • Support periodic transitions between technology platforms
  • Represent NYSER on committees relevant to data policy and technology implementation
  • Keep up to date on developments in the field of data science and integrate novel models into NYSER’s program
  • Lead and collaborate with others on ad hoc and special projects

Knowledge and Experience

  • Bachelor’s degree with eight or more years of experience in data analytics/science, financial engineering, statistics, or a similar field requiredorMaster’s degree with five or more years of experience in these fields required
  • Experience applying AI, including deep learning frameworks and ML, to practical business challenges in capital markets
  • Experience developing a data program is highly preferred
  • Experience in system architecture and design
  • Vision for how to incorporate data and technology into a regulatory program
  • Knowledge of financial and trading markets, especially equity and options trading
  • Experience building and analyzing quantitative trading strategies is highly preferred
  • High proficiency in Python, SQL, data-structured language, and/or other programming languages and analytical tools such as Jupyter notebook
  • Familiarity with AWS Cloud ecosystem preferred
  • Excellent verbal and written communication skills, including the ability to effectively communicate about complex data and technology issues to persons with a variety of backgrounds
  • Ability to teach others
  • Strong leadership skills, with management experience preferred
  • Great attention to detail with ability to work independently and also as part of a team
  • Ability to manage multiple workstreams simultaneously and complete projects expeditiously

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19.09.2025
IE-

Intercontinental Exchange - ICE Manager Reference Data Product Management United Kingdom, England, South Somerset

Limitless High-tech career opportunities - Expoint
Lead a team through the idea generation, technical development, implementation and launch of innovative products for entity data and alternative investments (private credit, private equity). Be the lead contributor towards...
Description:

Responsibilities

  • Lead a team through the idea generation, technical development, implementation and launch of innovative products for entity data and alternative investments (private credit, private equity).
  • Be the lead contributor towards the design and implementation of new business initiatives (e.g., new products).
  • Define strategy to leverage external data for effective platform/product growth within the region.
  • Take a data-driven approach to product enhancements, identifying opportunity areas and contributing to the Product roadmap, prioritizing work to deliver against key areas of focus.
  • Partner with Strategic Delivery functions to develop and execute on product roadmaps.
  • Participate in both formulating the business strategy as well as channeling into a clearly defined direction and product strategy.
  • Work with other product and development leaders to ensure alignment with their roadmaps and delivery.
  • Serve a critical role in the successful integration and subsequent product buildout of strategic company acquisitions.
  • Participate in cross-functional teams (e.g. Product, Business Analysis, Software Engineering) in the development of business requirements to meet customer needs.
  • Collaborate with target market representatives, customers, and partners to create powerful and revenue generating solutions for the marketplace.
  • Expertise in business requirements writing. Requires extensive knowledge of all areas of the business including but not limited to content, development, product design, workflow, billing, and configuration.
  • Must be well versed in industry and company focused initiatives and understand how that content could be utilized within reference data products.
  • Understand the business problems and opportunities in the context of the requirements and help recommend solutions that enable the organization to achieve its goals.
  • Liaise with the Stakeholders in managing, defining, prioritizing, planning, and executing the vision for our applications targeting our core Data Services customers.
  • Identify and communicate project risks and issues.
  • Ability to operate in a multi-tasking and deadline driven team environment.
  • Demonstrate a commitment to continuous learning by leveraging the learning & development curriculum to augment existing knowledge, skills, and experiences.
  • Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.

Knowledge and Experience

  • Bachelor’s degree is a minimum.
  • 5+ of experience in the financial services industry working with reference data. Ideally, some of these were when you were leading a team.
  • 3+ years of experience querying / retrieving data from structured databases (SQL/Oracle. Python).
  • Experience with alternative investments
  • Excellent ability to communicate technical ideas and concepts to colleagues outside the domain.
  • Strong collaboration skills – ability to navigate cross functional teams to deliver on shared objectives.
  • Excellent communication and listening skills with an ability to develop a clear message for senior management and craft the story around it.
  • Must have the ability to develop strong relationships with colleagues at all levels of the organization
  • Organized and structured with excellent attention to detail.
  • Acute understanding of how data is stored and flows through systems and databases.
  • Skilled in excel to analyze data, identify trends, and come to conclusions.
  • Understanding of how to identify and develop product enhancements.
  • Excellent analytical and problem-solving skills - solid hands-on experience of functional analysis, with extensive experience translating business requirements into functional, design and test documentation.
  • Strong written and verbal communication skills - ability to work with the client/user community to translate their requirements, however expressed, into development materials and conversely present development materials to client/users in a comprehensible way.
  • Must be able to supervise, organize, prioritize workload and work on numerous projects/tasks at one time.
  • A working knowledge, and ideally hands on experience, of the development life cycle, covering basic design, testing cycles from unit to acceptance testing, implementation, and post release bug/issue fixes.
  • Familiarity with a range of product interfaces (XML/JSON Files, APIs, Front-End Viewers).
  • Strong communication and leadership skills.

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04.09.2025
IE-

Intercontinental Exchange - ICE Technical Account Manager Connectivity United Kingdom, England, South Somerset

Limitless High-tech career opportunities - Expoint
Maximize current service experience. The Technical Account Manager ensures the infrastructure in place is optimized and future proofed to deliver the services in the best possible way. Any current or...
Description:

Job Purpose

As a Technical Account Manager, you will be assigned to a number of strategic and high value customer accounts and will be expected to develop a deep understanding of the IDS Connectivity services those accounts are contracted for. This knowledge will enable you to forge a strong technical relationship based on trust and competence with key stakeholders and sponsors on the client side, which in turn will allow you and the wider ICE Data Services organization, to provide the best possible service to those accounts, as well as growing our footprint of services and infrastructure over time.

The Technical Account Manager is expected to become a subject matter expert in ICE Data Services Connectivity products and will act as a technical liaison to the client, as well as the wider IDS Account Management and Sales organization. The TAM will provide product update briefings, host technology and content training workshops, deliver service review presentations, manage support escalations, as well as coordinating service delivery projects on an ongoing basis. The TAM will also be responsible for ensuring their accounts are configured optimally in terms of performance, resiliency and security, such that they can derive optimal value from their IDS Connectivity services.

Responsibilities

The Technical Account Manager has essentially 3 key remits across all assigned accounts:

  • Maximize current service experience
    • The Technical Account Manager ensures the infrastructure in place is optimized and future proofed to deliver the services in the best possible way. Any current or future capacity/performance constraints or technology obstacles are understood and mitigated ahead of time. Resiliency and latency-optimization analysis will be conducted on a regular basis to ensure peak performance.
    • The Technical Account Manager networks within their strategic accounts to partner with key business sponsors and technical leads to drive increased adoption and usage of ICE’s Connectivity services across as wide a user base as possible.
    • The Technical Account Manager has access to key technology, operations and business stakeholders at all assigned accounts and ensures they are aware of and leveraging the latest technologies and features available to derive the most value from the services currently contracted for.
    • The Technical Account Manager is aligned with ICE Network Operations and is fully up-to-date on all ongoing service incidents and acts as a point of escalation to help resolve and if necessary, expedite, any perceived issues impacting service.
    • The Technical Account Manager works closely together with ICE’s Service Delivery, Customer Engineering and Exchange Relations teams to oversee any project-related work (upgrades, migrations, decommissions) and act as the central point of contact through completion.
  • Alignment of customer’s service aspirations with ICE Data Services product roadmaps
    • The Technical Account Manager has an expert view on all IDS Connectivity product roadmaps and ensures the relevant stakeholders on the customer side have a good appreciation of upcoming new content additions, technology enhancements and strategic product launches ahead of time. The customer has early access to this information to allow for feedback which in turn would be fed into the priority setting by IDS product management and the business leaders.
    • The Technical Account Manager has a deep understanding of the tactical and strategic business development roadmaps on the customer side to help drive and align our own product roadmaps accordingly ranging from new or changing content requirements, adaption of or migration to new technologies as well as understanding competitor offerings that might be considered superior and undermine our strategic position if not addressed.
  • Conduct service satisfaction surveys
    • The Technical Account Manager performs a regular service satisfaction review soliciting feedback from senior stakeholders by means of a formal survey template.
    • The survey results allow ICE Data Services to document and score customer satisfaction rates across multiple disciplines, allowing us to trend (and address) the client’s perception of ICE Data Services over time, and understand how we perform relative to other competitor services used.
    • The survey results across all Technical Account Manager accounts are summarized in an executive management report on a yearly basis to help drive internal efforts to enhance service and product areas and help accelerate revenue growth.

The duties and responsibilities of the Technical Account Manager are not performed in isolation, but in close coordination with, and supported by, other ICE Data Services departments including the Account Management organisation, Service Delivery, Customer Engineering, Exchange Relations, Sales and Pre-Sales, Product Management and the ICE Data Services leadership team.

Knowledge and Experience

  • 5+ years’ experience working for a financial network service provider in a Technical Account Management, Pre-Sales, Support or Product capacity, having had significant exposure to associated technology, terminology, vendors, trading venues, market forces, regulation
  • Excellent understanding of financial markets, the trading life cycle and related terminology
  • Content specialist across various asset classes (futures and equities essential)
  • Project management experience
  • Attention-to-detail in all aspects of work is essential
  • Confident and professional communicator, both written and in front of an audience
  • Logical and methodical at trouble-shooting
  • Comfortable following established processes and procedures as well as identifying the need for process improvement where needed
  • Accountability, always putting the client’s interests first
  • Ability to multi-task and prioritize under pressure, while maintaining high quality output and meeting deadlines
  • Strong presentation skills
  • Excellent time management skills

Base Salary Range for New York

The expected base salary for this role, if located in New York, is between $84,300 - 111,400.   The base salary range does not include Intercontinental Exchange’s rewarding and uncapped sales commission incentives.  While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual.

Base Salary Range for Illinois

The expected base salary for this role, if located in Illinois, is between $80,000 - 100,000.   The base salary range does not include Intercontinental Exchange’s rewarding and uncapped sales commission incentives.  While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual.

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04.09.2025
IE-

Intercontinental Exchange - ICE Data Scientist United Kingdom, England, South Somerset

Limitless High-tech career opportunities - Expoint
Loan Data Analysis:Collect, process, and analyze large loan data sets from various sources (e.g., loan origination systems, servicing platforms).Identify trends, patterns, and anomalies in loan data using statistical techniques and...
Description:

Responsibilities

  • Loan Data Analysis:
    • Collect, process, and analyze large loan data sets from various sources (e.g., loan origination systems, servicing platforms).
    • Identify trends, patterns, and anomalies in loan data using statistical techniques and data visualization tools.
    • Develop and maintain databases and data systems to support loan data analysis and modeling.
  • Insight Generation:
    • Communicate complex loan data insights and model results to non-technical stakeholders.
    • Develop and present reports, dashboards, and visualizations to support business decisions.
    • Collaborate with stakeholders to identify business problems and develop data-driven solutions.
  • Data Engineering:
    • Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling.
    • Collaborate with data engineers to implement data solutions and integrate with existing systems.
  • Research and Development:
    • Stay up-to-date with industry trends, research, and developments in data science, machine learning, and related fields.
    • Explore new technologies, tools, and methodologies to enhance existing loan data solutions and models.

Knowledge and Experience

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • 3+ years of relevant work experience.
  • Proficiency in programming languages (e.g., Python, R, SQL) and software tools (e.g., pandas, NumPy, scikit-learn).
  • Experience with loan data analysis, machine learning, and data visualization.
  • Familiarity with databases and data systems.
  • Strong analytical and problem-solving skills, with the ability to analyze complex loan data sets and develop creative solutions.
  • Experience with data visualization tools (e.g., Sigma, Tableau, Power BI).
  • Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.

Preferred Knowledge and Experience

  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Certified Data Scientist (CDS), Certified Analytics Professional (CAP), or other relevant certifications.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, Snowflake).
  • Familiarity with loan markets, loan products, and lending regulations.
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03.09.2025
IE-

Intercontinental Exchange - ICE Full Stack Developer - Data Analytics United Kingdom, England, South Somerset

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Design, develop, and maintain robust web applications using Angular/React/Typescript on the front-end Build and optimize scalable backend services using Java & Spring framework. Implement data storage solutions with PostgreSQL (or...
Description:

Responsibilities

  • Design, develop, and maintain robust web applications using Angular/React/Typescript on the front-end Build and optimize scalable backend services using Java & Spring framework
  • Implement data storage solutions with PostgreSQL (or other NOSQL) databases
  • Responsibilities include writing complex code that integrates front–end and back-end technologies seamlessly
  • The developer will be tasked with working on extensive projects
  • Strong SQL skills are required for managing database queries and ensuring efficient data retrieval and manipulation

Knowledge and Experience

  • A bachelor's degree in Computer Science, Software Engineering, or a related discipline is generally preferred
  • 3+ Years of full stack development experience in enterprise level applications
  • Technical Skills:
  • Strong Proficiency in Java, Python, Spring Boot and RESTful web services
    • Experience with front-end frameworks: or Angular/React
    • Working knowledge of SQL or NOSQL databases
    • Proficient in PostgreSQL or equivalent for complex queries and performance tuning
    • Experience with CI/CD tools such as GitLab
    • Familiarity with software development processes like Agile and DevOps
    • Hands-on experience with Docker, Kubernetes, and AWS
    • Deep understanding of OOP, API, Microservices
  • Strong analytical, problem-solving, critical thinking and communication skills
  • Prior experience with data analytics tools such as Python, Alteryx, UI Path, etc. and data visualization such as Power BI, Tableau are a plus.
    • Professional certifications are a plus
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03.09.2025
IE-

Intercontinental Exchange - ICE Senior Manager Compliance United Kingdom, England, South Somerset

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Participate in drafting and administering policies and procedures for regulations and applicable industry standards, coordinating input from relevant stakeholders (e.g., compliance and legal resources) as needed;. Develop and implement guidance...
Description:
Job Description


Job Purpose

Intercontinental Exchange, Inc. (“ICE”) a global provider of financial services, is looking for a Senior Compliance Manager for certain of its regulated businesses located in its London Office. This position will support several of ICE’s affiliated FCA authorised and regulated Firms, Creditex Brokerage LLP, ICE Markets Limited and ICE Data Desktop Solutions Limited. This position will assist with the implementation and monitoring of the FCA Firms’ compliance program requirements (including the ICE corporate compliance program).

This position will report to General Counsel, Credit & Processing Businesses and be responsible for (1) developing and administering key policies and procedures related to the FCA Firms’ compliance programs, (2) advising employees on regulatory and other compliance requirements related to the Firms and their products and services, and (3) participating in employee compliance oversight, guidance, and training to ensure compliance with company policies and regulatory requirements.

Responsibilities

  • Participate in drafting and administering policies and procedures for regulations and applicable industry standards, coordinating input from relevant stakeholders (e.g., compliance and legal resources) as needed;
  • Develop and implement guidance and training to ensure employee understanding and compliance in coordination with corporate training programs;
  • Coordinate control development, oversight, relevant policies and procedures, and perform surveillance on key products and services in connection to the firm’s requirements;
  • Participate in the management of the compliance programs, including facilitating local risk assessments and compliance reviews, preparing and presenting compliance reporting, establishing and implementing compliance and surveillance processes, testing, and consulting with firm personnel where appropriate;
  • Assist in customer onboarding, including the performance of customer due diligence and ongoing monitoring of customers in accordance with the firm’s policies and procedures and applicable regulatory requirements;
  • Assist with employee registration with relevant regulator(s);
  • Supervise activities of employees to ensure that firm policies, corporate policies and regulator rules are being adhered to;
  • Assess proposed new lines of business/offerings to determine applicable regulatory and registration requirements and develop corresponding policies and procedures in coordination with relevant stakeholders (e.g., compliance, legal and business resources) as needed;
  • Identify and review new regulations and present supervisory strategies;
  • Participate in and/ or lead certain compliance governance and oversight meetings and committees, successfully communicating and engaging business stakeholders on findings, issues, and remediation requirements;
  • Assist in risk assessments and review and lead the report preparation;
  • Participate in the preparation and filing of other regulatory forms/reports, as applicable;
  • Assist in the preparation of written responses to regulatory inquiries;
  • Assist in the audit/ risk assessment of the firm’s compliance with its internal policies and procedures; and
  • Analyze and document areas of operational or regulatory concern, gather relevant information, and communicate findings to other departments;

Knowledge and Experience

  • Bachelor’s degree/University degree level education and extensive experience with a financial services or technology firm in an operations, risk or compliance position;
  • Law degree preferred but not required.
  • Must have strong knowledge and experience with securities, investment products, pricing, and transactions with an emphasis on fixed income.
  • Previous experience at an FCA member firm.
  • Knowledge of FCA Rules and Guidance and relevant UK financial legislation
  • Knowledge of UK Money Laundering Regulations
  • Ability to make independent judgments on key issues and accurately identify risks;
  • Strong analytical and organizational skills with acute attention to detail;
  • Excellent verbal and written communication skills;
  • Must be results-oriented and self-motivated; and
  • Ability to work effectively in a fast-paced, sometimes stressful environment.
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24.08.2025
IE-

Intercontinental Exchange - ICE Relationship Manager United Kingdom, England, South Somerset

Limitless High-tech career opportunities - Expoint
The Relationship Manager will be responsible for all ICE Data Services revenue across all lines of business. They will become proficient across all products and services. This particular territory is...
Description:

Job Purpose

The Relationship Manager is responsible for proactively managing ongoing relationship for a territory of 4 to 40 accounts ranging in revenue from 5M to 60M in annual revenue. The primary role of the Relationship Manager is to build trust based and value added relationships with key clients within the accounts they manage. The Relationship Manager is measured on revenue retention with the goal of strengthening and enhancing long term client relationships.

Responsibilities

  • The Relationship Manager will be responsible for all ICE Data Services revenue across all lines of business. They will become proficient across all products and services.
  • This particular territory is heavily weighted toward our Connectivity business and this position will require experience within the connectivity financial vertical.
  • The Relationship Manager will take on a leadership role in the coordination of internal resources to ensure the successful execution of client initiatives and problem resolution.
  • Performance will be measured as a function of quantitative measures based on revenue retention. They will also be measured against qualitative goals such as proactive client engagement and overall client satisfaction.

Knowledge and Experience

  • 5+ years of experience working within the financial services industry, with at least three years of account relationship experience.
  • Proactive individuals who are detail oriented, comfortable serving as a project coordinator, and who will be a strong customer advocate are highly desired for this position.
  • Overall industry knowledge and professional demeanor combined with the knowledge of ICE Data Services products and services is a must.
  • Knowledge of networks, connectivity, direct market access and real-time consolidated feeds is a must for this position.
  • Strong written and verbal communication skills and the ability to interact with senior management internally and externally are critical.
  • This position demands an individual who enjoys the challenge of working with large, complex and potentially demanding clients that expect high levels of service, professionalism and expertise.
  • Bachelor’s degree is required.

Base Salary Range for Illinois

The expected base salary for this role, if located in Illinois, is between $70,000 - 110,000.   The base salary range does not include Intercontinental Exchange’s rewarding and uncapped sales commission incentives.  While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual.

Base Salary Range for New York

The expected base salary for this role, if located in New York, is between $75,000 - 125,000.   The base salary range does not include Intercontinental Exchange’s rewarding and uncapped sales commission incentives.  While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual.

Show more

These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
implement a comprehensive approach to the use and maintenance of data, technology, artificial intelligence (“AI”), specifically focusing on machine learning (“ML”) and Large Language Models (“LLM”) for regulatory purposes;. design...
Description:

Job Purpose

The New York Stock Exchange (an Intercontinental Exchange company) is seeking a data scientist to serve as an expert member of NYSE Regulation (“NYSER”). The individual who fills this role will work closely with the other members of the NYSER data scientist team. The primary responsibilities of the individual in this position will be to:

  1. implement a comprehensive approach to the use and maintenance of data, technology, artificial intelligence (“AI”), specifically focusing on machine learning (“ML”) and Large Language Models (“LLM”) for regulatory purposes;
  2. design analytical and econometric models of trading activity (including with respect to digital assets and blockchain data) and provide direct data analytics and AI support to groups across the NYSER program, including to NYSER Surveillance & Investigations, NYSER Enforcement, and NYSER Issuer Regulation; and
  3. provide thought leadership on how to strategically enhance NYSER’s data and regulatory technology program, including by leveraging various data sources and by implementing AI and ML across platforms.

NYSER is responsible for monitoring activities on the NYSE’s equities and options markets, and for addressing non-compliance with the NYSE Exchanges’ rules and federal securities laws. NYSER enforces both the NYSE Exchanges’ and their members' compliance with NYSE Exchange rules and applicable federal securities requirements. NYSER also monitors and enforces listed companies’ compliance with applicable listing standards of the NYSE Exchanges. By performing these duties, NYSER supports the NYSE Exchanges’ efforts to promote just and equitable principles of trade, encourage free and open markets, and protect investors and the public interest.

Responsibilities

  • Serve as the data and AI/ML expert for NYSER
  • Explore predictive modeling, ML, LLMs and advanced statistical methods and integrate that technology into NYSER’s program
  • Analyze trading data to identify, develop and investigate enforcement cases, and distill the analyses into easily understood visual representations for non-technical stakeholders
  • Collaborate with other subject matter experts to define requirements and specifications for new surveillance patterns and enhancements to existing surveillances
  • Implement a comprehensive approach to the use and maintenance of data and technology for regulatory purposes
  • Provide thought leadership on how to strategically enhance NYSER’s data and AI/ML program, including use of the trading and other data to enhance regulatory functions
  • Design analytical and econometric models and perform analyses on vast quantities of data to identify trends in market activity that implicate the surveillance and enforcement programs
  • Facilitate communications between teams with differing levels of expertise on data and technology issues
  • Work with technology teams to identify required data sources and tools to load/incorporate data into NYSER systems and normalize and aggregate data sets when necessary
  • Establish workflows and documentation protocols based on data science best practices to ensure project plans, data models, and other work product can be clearly communicated to various stakeholders
  • Apply data science methods to analyze digital assets and blockchain data
  • Support periodic transitions between technology platforms
  • Represent NYSER on committees relevant to data policy and technology implementation
  • Keep up to date on developments in the field of data science and integrate novel models into NYSER’s program
  • Lead and collaborate with others on ad hoc and special projects

Knowledge and Experience

  • Bachelor’s degree with eight or more years of experience in data analytics/science, financial engineering, statistics, or a similar field requiredorMaster’s degree with five or more years of experience in these fields required
  • Experience applying AI, including deep learning frameworks and ML, to practical business challenges in capital markets
  • Experience developing a data program is highly preferred
  • Experience in system architecture and design
  • Vision for how to incorporate data and technology into a regulatory program
  • Knowledge of financial and trading markets, especially equity and options trading
  • Experience building and analyzing quantitative trading strategies is highly preferred
  • High proficiency in Python, SQL, data-structured language, and/or other programming languages and analytical tools such as Jupyter notebook
  • Familiarity with AWS Cloud ecosystem preferred
  • Excellent verbal and written communication skills, including the ability to effectively communicate about complex data and technology issues to persons with a variety of backgrounds
  • Ability to teach others
  • Strong leadership skills, with management experience preferred
  • Great attention to detail with ability to work independently and also as part of a team
  • Ability to manage multiple workstreams simultaneously and complete projects expeditiously

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