דרושים Principal Engineer Quantitative Data Science ב-Intercontinental Exchange - Ice ב-United States, New York

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

• Develop solutions to do session level, functional, technical, failover and performance testing across the entire stack – application, hardware, firmware, OS and network.
• Review code base and make recommendations for testing scenarios; analyze changes introduced and assess the technical testing required.
• Work with cross-functional teams to build scenarios in requirements, design and coding phases.
• Perform analysis of data from QA and production to build testing tools and scenarios.
• Maintain testing and analysis tools; identify any negative changes to both QA and production environments and work with teams to resolve those concerns.
• Take the initiative to improve efficiencies across systems/projects.
• Support operations, including executing process validations, methodology and audits.
• The candidate will also be responsible for building automation in one of the languages C++, Perl or Python to help ensure the delivery of quality trading system applications and drive solutions

Knowledge and Experience

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering or related field.
• 6 or more years of experience as a Quality Engineer, working on low latency client/server applications.
• 5+ years of relevant experience including software design, development, testing and deployment.
• Must have 4+ years of Linux/Unix experience . Red Hat is preferred.
• Experience in financial domain.
• Intermediate to advanced programming/scripting experience in Python or Perl.
• Knowledge in C++ programming language.
• Excellent communication and customer service skills.
• Ability to work in a highly demanding and fast-paced environment.
• Ability to multitask and work independently on multiple projects.
• Ability to differentiate between a critical business impacting incident and a minor problem, and resolve/escalate accordingly.

Preferred Qualifications

• Knowledge of FIX protocol is a plus.
• Experience in options trading systems is a plus.
• Experience with supporting production changes, UAT testing and debugging prod issues.
• Results Driven : Drive, focus and commitment to deliver results that meet the requirements of internal customers along with the passion for quality and getting the right results in the right way. Ability to work to tight schedules/deadlines and multitask.
• Teamwork : Internal communication is always a team effort. It is important to have the ability to interact positively and confidently with others and have the resilience, determination and focus to succeed in shared objectives
• Pushing Boundaries : The ability to challenge the status quo and actively look for new approaches and inspiration to improve the department’s results and processes. The ability to approach tasks in a creative and fresh manner.
• Operational Excellence : A passion for quality and a practical focus on getting the right results in the right way. Ensuring that decisions are fully implemented. The ability to anticipate and plan for significant changes in the organization, markets and customer requirements. Understand the need for change and help others to see the benefits by overcoming barriers.

Responsibilities

• Capacity Planning & Performance Analysis
  • Lead initiatives to define metrics and data requirements supporting capacity and performance monitoring.
  • Develop and refine models to analyze usage trends, predict future capacity needs, and proactively manage risk.
  • Investigate and resolve production issues that impact system performance or client experience.
  • Collaborate with development and infrastructure teams to identify and implement performance and scalability improvements.
• Data Engineering & Analytics
  • Onboard and integrate new data sources, perform data transformation, and apply analytics to extract actionable insights.
  • Use statistical modeling and data science techniques to detect patterns and anomalies.
  • Build automated pipelines and reusable scripts (e.g., Python) to support analytics workflows.
• Reporting & Visualization
  • Design and maintain business intelligence dashboards to visualize real-time and historical performance data (Grafana, Tableau).
  • Produce customized reports for internal product teams, senior stakeholders and performance review board.
  • Present findings in clear, concise formats to facilitate strategic decision-making.

Knowledge and Experience

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in Performance Engineering and Capacity Planning for high-availability, mission-critical systems.
• Strong expertise in data analysis, modeling, and statistical techniques.
• Proficiency in Python or other scripting languages for automation and analysis.
• Solid understanding of network protocols (TCP/IP, Multicast) and distributed systems.
• Proven experience with data visualization platforms (e.g., Grafana, Tableau, Splunk).
• Deep understanding of low-latency, high-throughput environments, preferably in financial trading or similarly demanding domains.

Preferred Knowledge and Experience

• Experience supporting electronic trading platforms or high-frequency trading systems.
• Familiarity with capacity planning tools, time series databases (snow flake), and observability platforms.
• Excellent verbal and written communication skills.
• Strong problem-solving skills and the ability to work independently under pressure.
• Demonstrated ability to lead cross-functional initiatives and mentor junior team members.

Job Purpose

The Junior Data Center Technician is responsible for ensuring all activities carried out in the Data Center & Access Centers conform to Data Center Procedures and industry best practice.

The Junior Data Center Technician performs routine data center operations work with a focus on learning and administering current data center procedures.

The role will also be requiring assisting Data Center Engineers to gather information for a work order.

Responsibilities

• Support storage tape removal and pick up
• Provide escorted access for vendors and COLO customers
• Carry out daily checks to ensure security and access policies are being adhered to and Data Center cleanliness is maintained.
• Carry out QA in Data Center Halls and access centers.
• Control Data Center stocks (copper/fibers patch cables, fiber cleaning accessories, cables labels, etc.) and report appropriately

Knowledge and Experience

• Basic computer hardware knowledge
• 0-1+ years' experience of working in Data Center environments
• Good Understanding of Microsoft Office
• Ability to follow instructions
• Demonstrate ability to perform in a high paced work environment, good problem solving techniques, communicating issues and results to co-workers and escalating to immediate management
• Ability to work well with others in a team environment as a member of a self-managed work team, in rotational assignments, or as a member of a project team
• Demonstrates a willingness to learn
• Effective written and verbal communication at all levels

Job Purpose

The Junior Data Center Technician is responsible for ensuring all activities carried out in the Data Center & Access Centers conform to Data Center Procedures and industry best practice.

The Junior Data Center Technician performs routine data center operations work with a focus on learning and administering current data center procedures.

The role will also be requiring assisting Data Center Engineers to gather information for a work order.

Responsibilities

• Support storage tape removal and pick up
• Provide escorted access for vendors and COLO customers
• Carry out daily checks to ensure security and access policies are being adhered to and Data Center cleanliness is maintained.
• Carry out QA in Data Center Halls and access centers.
• Control Data Center stocks (copper/fibers patch cables, fiber cleaning accessories, cables labels, etc.) and report appropriately

Knowledge and Experience

• Basic computer hardware knowledge
• 0-1+ years' experience of working in Data Center environments
• Good Understanding of Microsoft Office
• Ability to follow instructions
• Demonstrate ability to perform in a high paced work environment, good problem solving techniques, communicating issues and results to co-workers and escalating to immediate management
• Ability to work well with others in a team environment as a member of a self-managed work team, in rotational assignments, or as a member of a project team
• Demonstrates a willingness to learn
• Effective written and verbal communication at all levels

Responsibilities

• Able to do functional, technical, and failover testing across the entire application stack.
• Apply business and functional knowledge to develop end-to-end testing strategies using quality processes and methodologies to accelerate delivery and drive quality across the application lifecycle
• Review code base and make recommendations for testing scenarios; analyze changes introduced and assess the technical testing required
• Assist in determining test methodology and test data setup
• Actively participate in grooming, planning and daily standups
• Execute test scenarios/test cases during formal test periods for every release
• Diagnose problems and report bugs and enhancements to Development
• Document clear and detailed defects including steps to reproduce actual and expected results
• Build regression and acceptance test scenarios
• Perform functional and End to End tests
• Perform automation test suite with testing frameworks like Selenium, Play-write, Puppeteer
• Collaborate with cross-functional teams to ensure quality is built into the product development process. Work with cross-functional teams to build scenarios in requirements, design and coding phases
• Communicate testing progress, results, and issues to stakeholders, including senior management
• Create test scripts and testcases to cover broad range of scenarios and ensure traceability and validation against business requirements
• Take the initiative to improve efficiencies across systems/projects
• Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution

Knowledge and Experience

• Bachelor’s degree in Computer Science, Engineering or related field.
• 5+ years of experience in software development, QA, and Automation (Java., JavaScript).
• Strong knowledge of Java programming language, Selenium, Restful APIs.
• Proficient in GitHub, TestNG, Maven, Postman, and Jenkins.
• Experience with JIRA for Agile Development, Defect Management, and Test Case Management.
• Automation expertise in frameworks, backend API, and UI.
• In-depth experience with Agile methodology and Scrum.
• 5+ years of relevant experience including software design, development, testing and deployment.
• Excellent communication and customer service skills.
• Ability to work in a highly demanding and fast-paced environment.
• Ability to multitask and work independently on multiple projects.
• Ability to differentiate between a critical business impacting incident and a minor problem, and resolve/escalate accordingly.

• Experience with Trading and financial applications is a plus.
• Knowledge of FIX or Multicast protocol is a plus.
• Experience with supporting production changes, UAT testing and debugging prod issues.
• Results Driven: Drive, focus and commitment to deliver results that meet the requirements of internal customers along with the passion for quality and getting the right results in the right way. Ability to work to tight schedules/deadlines and multitask.
• Teamwork: Internal communication is always a team effort. It is important to have the ability to interact positively and confidently with others and have the resilience, determination and focus to succeed in shared objectives
• Pushing Boundaries: The ability to challenge the status quo and actively look for new approaches and inspiration to improve the department’s results and processes. The ability to approach tasks in a creative and fresh manner.
• Operational Excellence: A passion for quality and a practical focus on getting the right results in the right way. Ensuring that decisions are fully implemented. The ability to anticipate and plan for significant changes in the organization, markets and customer requirements. Understand the need for change and help others to see the benefits by overcoming barriers.

New York Base Salary

The expected base salary for this role, ifin New York, is between $125,000.  Thebase salary range does not include Intercontinental Exchange’s incentive compensation.  While we

Job Purpose

As a Senior Machine Learning Engineer in NYSE’s Data Science, ML, and AI team, you will design, build, and deploy machine learning systems to power intelligent decision-making across the exchange. You will work on a diverse set of problems – from structured prediction and anomaly detection to retrieval-augmented generation – using both classical and modern ML approaches. You will be expected to leverage AI-assisted development tools (e.g. ChatGPT, GitHub Copilot) to accelerate iteration, improve reproducibility, and enhance team productivity.

Responsibilities

• Develop and deploy ML models for structured and unstructured data, including supervised, unsupervised, and generative tasks
• Build production-grade pipelines for model training, evaluation, and deployment, integrating with NYSE's data infrastructure
• Design and operationalize RAG pipelines using LangChain and vector databases where appropriate
• Build and optimize ML microservices using FastAPI, Docker, and Kubernetes; ensure observability, scalability, and cost-efficiency
• Track and manage ML experiments and artifacts using tools such as MLflow
• Define, monitor, and improve performance metrics for deployed ML systems (e.g. accuracy, latency, coverage, user satisfaction)
• Use AI assistants for code generation, testing, and documentation
• Collaborate with stakeholders across engineering, data, and product teams to align technical efforts with business goals
• Stay current with research and industry trends in machine learning and AI, and evaluate applicability to NYSE use cases

Knowledge and Experience

• M.S. or Ph.D. in ML, AI, or related field
• 5+ years of experience in software engineering, including 3+ years building and deploying machine learning models
• Proficiency in Python, including experience with FastAPI and asynchronous programming
• Strong understanding of ML fundamentals (e.g. model evaluation, feature engineering, regularization, bias/variance tradeoffs)
• Experience with modern ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) and model lifecycle tools (e.g. MLflow)
• Familiarity with GenAI/NLP stacks including Hugging Face, OpenAI APIs, and LangChain
• Experience with vector databases (e.g. Pinecone, FAISS) and unstructured data pipelines
• Comfort using GenAI tools (e.g. ChatGPT, GitHub Copilot) to enhance development productivity
• Strong communication skills, with the ability to explain technical concepts to diverse audiences

Preferred Knowledge and Experience

• Exposure to financial market data and its unique properties (e.g. order books, time-series behavior, microstructure)
• Peer-reviewed publications in related fields