Director Data Science jobs at Intercontinental Exchange - Ice in 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

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

Job Purpose

The Data Center Operations Engineer (DCOE) is primarily responsible in ensuring that all activities carried out in the Data Center & Access Center’s conform to Data Center Procedures and industry best practice.

The DCOE will carry out Data Center works as directed, these works could be project based or tasks received via incident management or workflow management tools. In all cases the DCOE will ensure that Change Control rules are followed and support documentation is appropriate and correct.

The role is will also be responsible for carrying out daily checks in their areas of responsibility, ensuring security is maintained, managing third parties and ensuring all work activity is captured and updates entered into the Data Center management tool, or into the workflow management/incident management tool, Service Now.

Responsibilities

• Installation, relocation and recovery of Network, Server and Storage hardware to manufacturer standards and industry best practice.
• Repair of hardware to major component level (e.g. hard disk, NIC card, memory) across a broad range of vendor equipment.
• Execution of all work to Data Center work process & procedure.
• Manage the goods in/out process for your dedicated storage facility and keep full records as directed for all incoming/outgoing assets and a full availability list of all items in storage.
• Receipt of damaged/failed hardware internally and replacement through Return Merchandise Authorisation (RMA) process
• Carry out monthly audits of items in store and produce a report of all anomalies
• Manage asset record updates, tracking and placing assets as to their location and status (deployed, ceased etc).
• Ensure that all records are updated following any installations, moves or changes
• Carry out daily housekeeping checks of the data halls and record their findings
• Control Data Center stocks (copper/fibre patch leads, patch panels, connectors etc.) and report appropriately.
• To provide holiday and sickness cover at short notice and be flexible in their working patterns to support and maintain OLA’s & SLA’s

Knowledge and Experience

• Pro-active and flexible with ability to work either as part of a team or as an individual
• Effective written and verbal communication at all levels
• Strong attention to detail
• Desire to learn and progress within the company
• Experience of hardware manufacturer installation standards and knowledge of copper and fibre cabling installations and standards, with preference given to the following qualifications;
  • HP Accredited Platform Specialist
  • Systimax Installation & Maintenance ND3361
  • Corning NPI Membership
• 5+ years’ experience working in Data Center environments
• Basic network knowledge and good experience of a broad range of IT hardware; HP, Dell, Nokia, Ciena, Cisco, Juniper and Arista.
• Understanding of IP networks
• Experience of working in an ITIL controlled environment with knowledge of Change Control, Incident Management & Problem Management processes.
• Good experience using Microsoft Office and CRM databases
• Ability to prioritise effectively
• Ability to manage 3rd party contract staff/companies working within the DC
• Excellent time management skills

Job Purpose

We are looking for individuals with a background in statistical modelling and finance to join our data science team at Intercontinental Exchange. We require candidates to have experience building, enhancing, or supporting products related to fixed income securities. The role requires individuals to enhance and expand proprietary algorithms designed to bring transparency and standardization to the fixed income market. You will join a fast-paced team of quants and data scientists tasked with evolving modeling techniques to improve precision and scale across millions of bonds. You will also be tasked with researching new techniques of utilizing AI & ML to help further improve precision and operational efficiency. The role will require individuals to work with significantly large data sets spanning decades of historical data.

Responsibilities

• Learn, research, implement and maintain pricing models for fixed income securities
• Work closely with engineering, product and data science teams to procure, analyze and validate data sources
• Work closely with product & product support teams to validate methodologies
• Investigating Ad hoc issues and debugging pricing applications

Knowledge and Experience

• An understanding of fixed income instruments
• Strong communications skills
• Hands on experience utilizing Python, R and SQL
• 6+ years of experience doing data analysis in a fixed income setting
• Masters’ or higher in Computer Science, Math, Physics, Engineering, or related quantitative field
• Experience using AI & ML techniques to solve complex multi-dimensional problems is advantageous

Responsibilities

• Leadership and Strategy:
  • Lead and manage a high-performing global team of sales engineers, providing guidance, mentorship, and professional development.
  • Develop and implement the global technical sales engineering strategy, ensuring alignment with corporate sales goals and business objectives.
  • Collaborate with senior leadership, including the VP of Sales, Product Heads, and COO, to set clear business and technical priorities.
  • Serve as a key advisor to the sales leadership team, ensuring that the technical aspects of sales opportunities are well understood and effectively communicated.
• Sales Enablement:
  • Develop and execute the technical sales enablement plan to enhance the sales team's ability to position, demonstrate, and sell the company’s products and services.
  • Provide strategic team with Commercial and Legal approvals for contracts.
  • Provide technical expertise and support to sales teams during customer engagements, including pre-sales demonstrations, proof of concepts (POCs), and solution design.
  • Identify and address any technical gaps or challenges in the sales process to improve efficiency and close rates.
• Customer Engagement:
  • Partner with key customers and prospects to understand their needs and present tailored technical solutions that address their business challenges.
  • Work closely with the customer success and engineering teams to ensure the seamless transition of technical solutions from sales to implementation.
  • Represent the company as a technical thought leader, engaging with clients, partners, and industry experts to build credibility and drive sales success.
• Collaboration with Product and Engineering Teams:
  • Work closely with product and engineering teams to ensure that technical feedback from customers is incorporated into product roadmaps and future developments.
  • Ensure sales engineers have up-to-date knowledge of product features, functionalities, and capabilities including delivery options across numerous platforms (data APIs, normalized feed, historical data, cloud, etc.).
• Global Expansion:
  • Build and manage a scalable global team to support international sales efforts and ensure consistency in technical sales engineering processes across regions.
  • Understand regional market dynamics and adjust technical sales strategies to meet local customer needs and expectations.
• Performance Metrics and Reporting:
  • Establish performance metrics to track the success and impact of the technical sales engineering team.
  • Monitor key performance indicators (KPIs) to ensure team objectives are being met and provide regular reporting to senior leadership on progress and outcomes.

Knowledge and Experience

• Bachelor’s degree in Engineering, Computer Science, or a related field.
• 10+ years of experience in technical sales engineering, with at least 5 years in a leadership role managing global teams.
• Proven track record in managing large, cross-functional teams and driving revenue growth through technical sales strategies.
• Strong experience in enterprise sales, including customer-facing technical roles such as pre-sales engineering, solution architecture, or technical sales.
• Experience in SaaS, cloud computing, or other technology-driven industries is preferred.
• Strong leadership, mentoring, and coaching skills, with the ability to inspire and drive results from a global team.
• Exceptional technical acumen with the ability to understand and articulate complex technical solutions to non-technical stakeholders.
• Excellent communication and presentation skills, with experience delivering compelling presentations to C-suite executives, customers, and partners.
• Ability to collaborate across various departments (sales, product, engineering) and cultures in a global organization.
• Strong analytical and problem-solving skills, with a focus on optimizing sales processes and improving customer success.
• Willingness to travel internationally as required (up to 30% of the time).

Responsibilities

• Conduct market data audits of customers’ data usage and infrastructure, including entitlements systems and controls that support data consumption and dissemination of data.
• Plan audits by researching customer information; manage audit life cycle of kickoff and walkthrough meetings, data collection and analytics; determine audit results including liability exposures and corrective actions.
• Document standard practices and processes.
• Communicate with customers - articulate expected collaboration and materials required and manage expectations and timeframes efficiently.
• Support internal market data team on projects and strategic initiatives.
• Keep abreast with market data industry and regulatory landscape.
• Participate in development of ongoing and planning of future audit strategies.
• Review existing policies and processes to identify enhancement opportunities.
• Participate in an array of broader team and management initiatives.

Knowledge and Experience

• Bachelor’s degree in a field that demonstrates analytical disciplines.
• 2+ years’ experience in market data management or financial audit fields.
• Highly motivated self-starter, with strong interpersonal skills and can work both independently and collaborate in team environment.
• Must have high levels of curiosity, be self-motivated with strong interpersonal skills and can work both independently and collaborate in a team environment.
• Strong presentation, written and verbal communication skills.
• Proficiency in Microsoft suite products (Word, Excel, PowerPoint, Outlook), with strong Excel skills required.