דרושים Recruiting Operations Coordinator ב-Intercontinental Exchange - Ice ב-United Kingdom, South Somerset

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

Responsibilities

• Schedule candidate interviews for the North America region and communicate interview details with candidates and hiring teams
• Assist candidates with travel accommodations using company’s corporate travel platform
• Utilize the applicant tracking system (ATS) to manage interview requests and candidate information
• Partner closely with recruiters, hiring managers, and other team members to ensure a seamless interview process
• Provide a high level of customer support to candidates, hiring managers and the recruiting team
• Create and maintain up-to-date interview scheduling documentation
• Ad-hoc tasks and projects to support the HR Recruiting Operations team

Knowledge and Experience

• Bachelor’s degree or equivalent relevant work experience
• 3+ years of experience in human resources, recruiting, or an administrative role
• Strong attention to detail
• Strong organization skills with the ability to manage multiple tasks and priorities simultaneously
• Excellent written and verbal communication skills
• Proactive approach to solving problems and improving process
• Experience with Microsoft Office Programs: Outlook, Excel, Word, SharePoint, Teams

Preferred

• Experience with applicant tracking systems, preferably iCIMS
• Prior experience scheduling candidate interviews

Responsibilities

• Summarize and document market data usage policies and distribution rights.
• Assist with processing source mandated changes to usage policies and pricing by updating documentation, maintaining internal entitlement systems and preparing materials to communicate changes both internally and externally to clients.
• System administration for ICE product entitlement systems; includes setting up new services, products and other features
• Review and resolve inquiries related to usage policies, pricing and billing issues, as well as entitlement system administration
• Provide support to the external audit defense team by researching audit related inquiries, providing entitlement system audit reports, and tracking remediation items
• Assist with various compliance related projects

Knowledge and Experience

• Experience in market data industry, including compliance and contract management/ negotiation background a plus.
• Familiarity with real time, end-of-day and derived data use cases
• Ability to analyze complex policy data (contracts and agreements, fee schedules, new rule announcements.) to identify adjustments to current systems and processes
• Highly effective written and verbal communication skills
• Strong analytical and problem-solving skills
• Proficiency in the standard Microsoft Office suite (Excel, Word, Access); knowledge of Microsoft Visio a plus
• Proficiency with SQL
• Ability to learn new software applications and systems
• Adept at creating and maintaining effective relationships through strong interpersonal skills

Job Purpose

AIP Suites (Data Modernization to Snowflake) builds an analytics-ready data architecture where data from source systems such as PDM (Product Data Management) and RDO is ingested into Snowflake for centralized storage and modeling. These models support ICE BI, which consumes Snowflake data for analytics and dashboarding. This design ensures clean separation between raw ingestion, transformation, analytics, and service-based consumption, supporting scalable and future-proof data-driven operations.

Responsibilities

• Provides Snowflake-based data warehouse design and development for projects involving new data integration, migration, and enhancement of existing pipelines.
• Designs and develops data transformation logic using SQL, Snowflake stored procedures, and Python-based scripts for ETL/ELT workloads.
• Builds and maintains robust data pipelines to support reporting, analytics, and application data needs.
• Creates and maintains Snowflake objects like tables, views, streams, tasks, file formats, and external stages.
• Participates in project meetings with data engineers, analysts, business users, and product owners to understand and implement technical requirements.
• Writes technical design documentation based on business requirements and data architecture principles.
• Develops and/or reviews unit testing protocols for SQL scripts, procedures, and data pipelines using automation frameworks.
• Completes documentation and procedures for pipeline deployment, operational handover, and monitoring.
• May mentor or guide junior developers and data engineers.
• Stays current with Snowflake features, best practices, and industry trends in cloud data platforms.
• Performs additional related duties as assigned.

Knowledge and Experience

• Bachelor’s Degree or the equivalent combination of education, training, or work experience.
• 5+ years of professional experience in data engineering or database development.
• Strong Hands-on experience:
• Writing complex SQL queries and stored procedures
• Database stored procedures, functions, views, and schema design
• Using Streams, Tasks, Time Travel, and Cloning
• Proficiency in database performance tuning and performance optimization — clustering, warehouse sizing, caching, etc.
• Experience configuring external stages to integrate with cloud storage (AWS S3, Azure Blob, etc.).
• Experience writing Python/Shell scripts for data processing (where needed).
• Knowledge on Snowflake and Tidal is an added advantage
• Proficiency in using Git and working within Agile/Scrum SDLC environments.
• Familiarity working in a Software Development Life Cycle (SDLC) leveraging Agile principles.
• Excellent analytical, decision-making, and problem-solving skills.
• Ability to multitask in a fast-paced environment with a focus on timeliness, documentation, and communication with peers and business users.
• Strong verbal and written communication skills to engage both technical and non-technical audiences at various organizational levels.

Job Purpose

The Market Data Operations group is responsible for the management, provisioning, reporting and overall data usage compliance of market data both internally and externally. Our remit:

• To provide a value-add service across ICE Data Services’ multiple business lines.
• To establish a proactive, forward-facing, service orientated group with a clear understanding of the value of the corporate strategic assets (“the data”) of which we are in effect the custodians.
• To implement a series of clearly defined best practices across all business lines and all product lines in order to support our global business in a timely, efficient & compliant way.
• To implement robust processes to support the sales cycle and the client on-boarding process while adhering to our core principals of source compliance & consistency
• The Exchange Expense Management group’s core function is to ensure all fees paid to exchanges and Third-Party data providers are validated, accounted for, and where appropriate are passed along to our clients as required.

Responsibilities

• Investigate, review, and where appropriate arrange for remediation for expense items related to market data supplied by Exchanges and Third-Party Providers
• Review routine processes tied to expense allocation, budgeting, and payment with an eye toward streamlining and improvement
• Collaborate with stakeholders both within the Market Data Operations Teams and other departments/groups on the implementation of new or additional processes, tools, and systems to improve transparency and lessen manual efforts
• Prepare and present reports outlining progress made, future endeavors, patterns and trends of Exchange Expense Management initiatives
• Participate on Market Data Operations team projects as assigned

Knowledge and Experience

• Working knowledge of finance concepts such as Budgeting, P&L, Royalties/Revenue Shares, Purchase Orders, and General Ledger Accounting
• Proficiency in Microsoft Office with concentration in Access and Excel
• Experience in Tableau or other data analytics report suites a plus
• Self-motivated with strong time management and prioritization skills
• Ability to confidently present and participate in meetings and discussions with both peers and multiple levels of management
• Strong written, oral, and interpersonal skills

Responsibilities

• Identify, research, and analyze data so that it can be accurately processed.
• Perform analysis and document/revise conversion requirements to translate data sets into standardized formats.
• Perform detailed data verification and analysis on issues that need to be fixed. Responsible for the escalation and resolution of data issues.
• Make process and/or system improvement recommendations to assist the business unit in achieving its goals and objectives.
• Gather reporting requirements for change requests and ad-hoc reports as requested.
• May assist with extraction, transforming, and standing up of various data sets.
• Performs other related duties as assigned.

Knowledge and Experience

• Proficient written and oral communication skills in dealing with employees or external customers/clients
• Proficiency in standard office software, such as MS Office, MS Access, MS Word, MS Excel, etc.
• Demonstrated experience with data and analysis
• Working knowledge of relational databases, a plus
• Ad-hoc SQL query development a plus
• Preferred Experience working with data analytics-driven solutions with sensitive data sources
• High degree of creative, analytical, and problem-solving skills
• Ability to gather and interpret information and to develop, recommend and implement

The primary role of the Lead Fixed Income Operations Analyst position will be to support the evaluations process, perform daily and ad hoc responsibilities, responding to client inquiries, and identifying/implementing process improvements. Strong knowledge of fixed income markets and proficiency with Advanced Microsoft Office applications is a must.
Responsibilities

• Handle daily production tasks for products related to fixed income Evaluators
• Support global team of Evaluators with price affirmation and challenge issues
• Follow up and resolve evaluations data discrepancies, as necessary.
• Assist Evaluation team with any other projects or processes as required
• Act as liaison between Sales/Client Services and Evaluators
• Facilitate responses to questions/issues that span across multiple asset classes
• Responsible for UAT and regression testing for new product releases of SPER and JIRA entries where applicable
• Participate on Disaster recovery tests for FI systems such as Omega
• Maintain Evaluation Services calendar and holiday advisory notices
• Undertaking of ad-hoc projects as directed by management
• Use Excel functions to organize, analyze and create data

Knowledge And Experience

• Working experience in Operations with a focus on Fixed Income products in highly preferred
• Proficient in Advanced Microsoft Office applications, especially Excel, specifically VLookup, and Pivots
• Basic knowledge of SQL and Python
• Knowledge of the UAT process for the software development lifecycle
• Ability to collaborate with business analyst and product development teams
• Ability to manage time effectively, multi-task and prioritize workloads
• Team player with the willingness to take direction from senior management
• Independent self-starter, able to sustain productivity in a fast-paced environment
• Bachelor’s degree (or foreign equivalent) preferred