דרושים Market Data Operations Analyst ב-Intercontinental Exchange - Ice ב-United Kingdom, South Somerset

Job Purpose

We are seeking a strategic and detail-oriented Senior Technology Enterprise Risk Management Analyst to join our Enterprise Technology Risk team, a subgroup within Enterprise Risk. This individual will play a critical role in advancing the organization’s risk maturity through the

• support and execution of the Annual Enterprise Technology Risk Assessment (ETRA),
• the development, implementation, and ongoing management of risk and performance indicators - known collectively as Management Information (MI) using DA and automation concepts
• supporting targeted assessments,
• monitoring emerging risks, and
• managing aspects of the issue life cycle resulting from enterprise risk assessments.

The ideal candidate is a self-starter with 5+ years of relevant experience in technology risk management or related fields, and a passion and proven ability for building data-driven, mature, automated and forward-looking risk practices that align with organizational strategy.

Responsibilities

• Risk Measurement
  • Assist business leaders with developing or enhancing risk appetite statements that are able to evolve and be measured quantitatively
  • Design, implement, and manage a comprehensive suite of risk and performance indicators across business units and risk categories.
  • Collaborate with business owners and risk partners to align indicators with risk appetite, business objectives, and regulatory expectations.
  • Develop and maintain dashboards (Tableau, python etc.) and reporting tools to provide timely insights to senior management and the Board.
  • Promote risk management efficiencies through the implementation and use of automated routines.
• Enterprise Risk & Controls
  • Support and drive control library and risk inventory management. Acts as an expert in how to identify and document risks and create and maintain controls and control attributes.
  • Lead or support the facilitation of enterprise-wide and targeted risk assessments, including risk identification, evaluation, and prioritization.
  • Analyze qualitative and quantitative data to inform the organization’s risk profile.
  • Assist in the development of risk mitigation strategies and action plans with business units.
• Emerging Risk Monitoring
  • Conduct horizon scanning to identify, evaluate, and track emerging risks and macro-level trends (e.g., regulatory, technological).
  • Prepare and present emerging risk reports and insights for leadership consideration and potential scenario analysis.
• Issue and Action Management
  • Coordinate and track issues resulting from Enterprise Risk Assessment and related action plans through resolution, ensuring timely remediation and escalation where appropriate.
  • Collaborate with risk and business owners to validate issue status, risk exposure, and supporting documentation.
  • Provide oversight reporting on open issues for senior management and risk committees as appropriate.
• Governance & Reporting
  • Contribute to the preparation of materials for risk committees, executive leadership, and Board reporting.
  • Ensure risk management documentation is accurate, current, and aligned with policy and framework requirements.
  • Support policy and framework updates as needed. This will include policy and procedure creation and update as well as collaboration with other departments on ERM and other policies and procedures.
• Collaboration & Advisory
  • Serve as a key liaison and trusted advisor between the ERM function and stakeholders across the enterprise—including Legal, Compliance, Internal Audit, Technology, Operations, and Business Line teams—to promote understanding, ownership, transparency, alignment, and shared accountability for risk.
  • Promote and advocate for the risk department in a professional manner
  • Communicate risk insights, initiatives, and expectations in a clear, accessible way to both technical and non-technical audiences.
  • Promote a risk-aware culture by helping educate stakeholders on risk frameworks, tools, and processes.
  • Provide support to the Third Party Risk Management & Procurement programs as needed
  • Support the redesign and content development of the risk SharePoint site.
  • Perform other duties as assigned

Knowledge and Experience

• Bachelor’s degree in Business Administration, Finance, Risk Management, Technology Management or related fields.
• 5+ years of experience in enterprise risk management, internal audit, compliance, or related discipline.
• Proven experience creating and managing risk indicators and conducting enterprise risk assessments.
• Experience creating complex analytics using coding, scripting, querying, dashboard technologies, and setting up supporting infrastructure components such as SQL servers. Python, R, VBA, Java Script, or Tableau scripting experience highly desired.
• Experience managing issue remediation processes, particularly in support of enterprise risk and control remediation efforts.
• Strong analytical, quantitative, and critical thinking skills.
• Excellent communication skills, both written and verbal, with experience in preparing executive-level reporting.
• Proficiency in risk management software and data visualization tools (e.g., GRC, SNOW and other risk tools).

Preferred Knowledge and Experience

• Professional certifications such as CRISC, CRM, FRM, CERA, or related designations.
• Experience working in highly regulated industries, Financial Services and or Mortgage preferred.
• Familiarity with emerging risk areas (cybersecurity, AI and/or stablecoins).

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

Job Purpose

The Senior Compliance Analyst (“SCA”) is responsible for assisting in verifying that ICE Data Pricing and Reference Data, LLC (“PRD”), an SEC Registered Investment Adviser, meets its regulatory requirements. The SCA will support the Chief Compliance Officer in the design, development and execution of a risk-based compliance Program. This includes, but is not limited to, identification of relevant rules and regulations; administer (and creation and oversight, as needed) of PRD policies and procedures to assist in the prevention and detection of gaps in compliance; monitoring systems, processes and for compliance with the PRD Code of Ethics; performing testing as part of the PRD Annual Compliance Report; aiding in the resolution of any gaps in compliance; facilitation of training; and providing compliance advice to PRD Supervised Persons.

The SCA will have an excellent working knowledge of SEC rules and regulations applicable to registered investment advisers.

Responsibilities

• Drafting, implementing and administering policies and procedures related to PRD and its registered investment advisory businesses and the conduct of employees engaging in such businesses.
• Assisting in the monitoring and testing of policies and procedures to verify that PRD remains in compliance with applicable policies and industry rules and regulations.
• Perform testing of policies and business practices in support of PRD’s Annual Compliance Report
• Provide advice, guidance and training to Supervised Persons of PRD to verify that employees understand their regulatory obligations and firmwide requirements.
• Evaluate the efficiency of controls and processes and make recommendations for improvement.
• Identify and review new regulations and how they will impact PRD’s businesses.
• Participate in and/ or represent compliance in governance and oversight meetings and committees.
• Review and assess any new business/offering proposals to determine applicable regulatory requirements and develop relevant policies and procedures as needed.
• Assist in business and firmwide risk assessments.
• Participate in the preparation and filing of regulatory reports/documents, as applicable.
• Assist in the audit/ risk assessment of the firm’s compliance with internal policies and procedures.
• Analyze and document areas of operational or regulatory concern, gather relevant information, and communicate findings to business and control areas.

Knowledge and Experience

• Bachelor’s Degree and 2+ years’ experience in a compliance role with a US registered investment adviser or with a securities regulator.
• Comprehensive understanding of SEC investment adviser regulation.
• Understanding of the role of pricing vendors in the securities industry.
• Experience working at a pricing vendor is helpful.
• Strong knowledge of financial markets and, specifically, fixed-income markets.
• Excellent verbal and writing skills (including drafting of policies and procedures).
• Experience interacting with senior management personnel.
• Experience working in a team environment.
• Ability to make independent judgments on key issues and accurately identify risks.
• Strong analytical and organizational skills with attention to detail.
• Ability to work in a large, financial services organization
• Must be results-oriented, self-motivated and capable of leading projects.
• Ability to work effectively in a fast-paced, sometimes stressful environment.

Job Purpose

This role will be part of a team of information technology professionals responsible for monitoring a global network infrastructure including offices and internet data centers. This position requires technical proficiency, an eager attitude, professionalism, and solid communication skills.

Responsibilities

• Build, maintain, and support a global log management and monitoring infrastructure
• Investigate network and application anomalies using logs, alarms, APM solutions, TCP/IP traces, and captures
• Document changes and author documentation on monitoring standards and practices
• Leverage new and existing tools to augment the monitoring posture at ICE
• Design monitoring requirements in coordination with development and operations
• Implement monitoring solutions across multiple datacenters
• Serve as a primary point of contact for monitoring across the enterprise

Knowledge and Experience

• Knowledge of Linux, Python, Perl, Java scripting languages
• Administration experience with Datadog, Dynatrace, AppDynamics or another APM solution
• Certification in Splunk, ELK, or another logs tool
• Strong data analysis skills and competence in MS Word and Excel
• Strong written and verbal communication skills
• Ability to multitask and work independently on multiple projects

Desirable Skills and Experience

• Experience with Performance tuning
• Bachelor’s degree, preferably in CIS, engineering, or a related discipline
• Financial industry expertise
• Change auditing and configuration management

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.

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.

Responsibilities

• Develop substantive knowledge of Exchange’s rules and CFTC regulations
• Stay informed on relevant Federal regulations, policy and developments
• Develop knowledge of commodity markets, particularly related to energy, financial & agricultural markets
• Monitor the relation between cash commodity fundamentals and the futures market, particularly in energy and agricultural markets
• Work with large, complex data sets
• Research data from a variety of real time and post trade systems to identify abnormalities or potential rule violations
• Document detailed analyses of trading activity
• Conduct investigations of potential rule violations by obtaining testimony, compiling records and drafting investigative reports for presentation to disciplinary committees
• Build relationships with market participants and provide guidance on Exchange rules
• Improve common processes to find efficiencies
• Collaborate with others on technology and systems to enhance operational processes

Knowledge and Experience

• Bachelor’s Degree in Economics, Finance, Math or Juris Doctorate
• Strong analytical and communication skills
• Familiarity with futures markets, commodities and trading
• Familiarity with data analytic tools is a plus
• Exceptional written and verbal communication skills
• Self-starter who can prioritize and meet deadline pressure
• Comfortable working in a fast paced, high stress environment
• Ability to communicate with market participants, federal regulators and executive management
• Knowledge of futures exchange operations, trading, risk management or regulations