דרושים Market Data Compliance Analyst 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

Job Summary (Primary function)

Essential Functions of the Job (Key responsibilities)

Identifies, establishes and maintains collaborative relationships with key investigators, institutions, groups and consortia strategic to the safe and effective use of company products

Provides education to the medical community on Incyte products and disease areas of focus

Provides responses to unsolicited requests for medical information, often in direct collaboration with Medical Information Services personnel

Increases company visibility and enhances professional interaction with current and future oncology leaders

Identifies clinical research opportunities that are consistent with company objectives

Represents the primary territory contact for the investigator-sponsored trial program, facilitating the process from concept submission through publication

Identifies and communicates key clinical and research insights from oncology leaders to help shape company research, and to ensure safe and appropriate use of Incyte marketed products

Maintains a high level of clinical and scientific expertise through ongoing training and self-education, including attendance at relevant conferences, scientific workshops, and review of key publications

Gathers and disseminates competitive intelligence in a compliant manner

Takes advantage of opportunities to mentor other MSL team members, and participates in cross-functional US Medical Affairs teams

Effectively executes administrative aspects of regional field activities

Substantively contributes to, and provides medical leadership for, US Medical Affairs and Development programs/projects

Ensures compliance and adherence to Incyte policies and SOPs and USMA operating guidelines

Maintains the independence and integrity of the USMA business function when engaging with internal and external stakeholders

Completes accurate and timely administrative reports, project plans, and required documentation requests

Qualifications (Minimal acceptable level of education, work experience, and competency)

An advanced degree (PhD, PharmD, or MD), with prior experience in the biotech/pharmaceutical industry, is strongly preferred

Prior MSL or relevant experience is strongly preferred

A minimum of 5 years hematology/oncology experience is strongly preferred

Clinical research experience is preferred

Knowledge of treatment guidelines, FDA regulations, CMS reimbursement coverage process, and OIG guidelines

Excellent interpersonal communication and presentation skills

Strong problem solving, decision-making, and negotiation skills

Ability to think strategically and apply knowledge and analytical skills

Ability to summarize complex scientific information and present in a clear, concise, confident, and scientifically accurate and balanced manner to a range of audiences

Ability to network and partner with external customers, including medical thought leaders, academic institutions, research consortia, and practice networks

Possesses demonstrable effective leadership skills (by example and through accomplishments), and is able to step forward to handle challenges within scope of authority

Demonstrates deep therapeutic competency; stays abreast of trends and new information in the therapeutic/translational science area, as well as the profession at large

Approximately 50-60% domestic travel is required

Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.

Learn more at:

During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job. You can learn more about this process .

You can learn more about Incyte’s data protection practices . By accessing this link you can learn about the types of personal data we collect, how we use it, whether collection and processing is optional, sources of the personal data we process, how it is shared, where it is stored or transferred to, how long we keep it, and contact information for Incyte, Incyte’s data protection officer, and your supervisory authority (if applicable).

Responsibilities

• Assess order and trading activity based upon a variety of alerts generated by surveillance systems.
• Working with colleagues, engage in fact finding to determine if matters warrant further investigation and escalation; document findings.
• Issue formal requests for information to members and analyze their responses; interact with member firms and their counsel concerning those requests.
• Assist with the preparation of memoranda that recommend dispositions of completed investigations and present those findings and recommendations to senior leadership during meetings of NYSE Regulation’s Disciplinary Action Committee.
• Assist with the creation, development, and review of new surveillances and procedures.
• Investigate regulatory issues arising from NYSE business and operations units.
• Identify and mitigate situations that may adversely impact the integrity of NYSE markets.
• Assist with the refinement of surveillance systems to ensure that alert output is meaningful and valid; recommend enhancements to those systems.
• Investigate trading activity by querying, synthesizing, and analyzing large and complex data sets.
• Other projects, as assigned.

Knowledge and Experience

• Possess strong analytical skills, an understanding of equities and/or options exchanges and trading and the ability to work with and synthesize large data files.
• Bachelor’s degree or equivalent work experience.
• Sound judgment.
• Experience relevant to securities markets or compliance (preferred).
• Excellent written and verbal communication skills.
• Ability to work on and prioritize multiple tasks with tight deadlines.
• Ability to work independently while contributing to a collegial, fast-paced, team-oriented environment.
• Solid data analytics capabilities.
• Ability to write and execute SQL queries against large data (preferred).

Job Purpose

SRE headcount to assist with day-to-day activities supporting ESRE services related to incidents. Build actionable alerts/automation for preventing incidents, detecting performance bottlenecks, and identifying maintenance activities.

Responsibilities

• Employ deep troubleshooting skills to improve the availability, performance, and security of IMT Services.
• Collaborate with Product and Support teams to plan and deploy product releases.
• Work with Engineering leadership to build shared services that meet the requirements and need of the platform and application teams.
• Ensure services are designed with 24/7 availability and operational readiness and rigor
• Implementation of proactive monitoring, alerting, trend analysis and self-healing systems
• Contribute to product development / engineering as needed to ensure Quality of Service of Highly Available services.
• Resolution of product/service defects or design changes, infrastructure changes, or operational changes
• Implement automated tests, automated deployments, and operational tools

Knowledge and Experience

• 3+ years of relevant experience in Production support services environment as SRE engineer
• BS in Computer Science, Computer Engineering, Math, or equivalent professional experience
• Excellent troubleshooting skills, utilizing a systematic problem-solving approach
• Experience with elastically scalable, fault tolerance and other cloud architecture patterns
• Experience operating on AWS (both PaaS and IaaS offerings)
• Experience in both Windows (2016 R2+) and Linux
• Experience with Continuous Integration and Continuous Delivery concepts
• Good to have experience in Containerization concepts like Docker

About Our Technology Stack

You'll be working with a modern, on-premises data stack that includes:

• Apache Airflow for workflow orchestration (self-hosted on Kubernetes)
• dbt for data transformation and testing
• Apache Flink for stream processing and real-time data workflows
• Kubernetes for containerized deployment and scaling
• Git-based version control and CI/CD for data pipelines
• Oracle Exadata for data warehousing
• Kafka for messaging and event streaming

We emphasize building systems that are maintainable, scalable, and focused on enabling self-service data access while maintaining high standards for data quality and governance.

Responsibilities

• Design, build, and maintain our on-premises data orchestration platform using Apache Airflow, dbt, and Apache Flink
• Create self-service capabilities that empower teams across the organization to build and deploy data pipelines without extensive engineering support
• Implement robust data quality testing frameworks that ensure data integrity throughout the entire data lifecycle
• Establish data engineering best practices, including version control, CI/CD for data pipelines, and automated testing
• Collaborate with ML/AI teams to build scalable feature engineering pipelines that support both batch and real-time data processing
• Develop reusable patterns for common data integration scenarios that can be leveraged across the organization
• Work closely with infrastructure teams to optimize our Kubernetes-based data platform for performance and reliability
• Mentor junior engineers and advocate for engineering excellence in data practices

Knowledge and Experience

• 5+ years of professional experience in data engineering, with at least 2 years working on enterprise-scale data platforms
• Deep expertise with Apache Airflow, including DAG design, performance optimization, and operational management
• Strong understanding of dbt for data transformation, including experience with testing frameworks and deployment strategies
• Experience with stream processing frameworks like Apache Flink or similar technologies
• Proficiency with SQL and Python for data transformation and pipeline development
• Familiarity with Kubernetes for containerized application deployment
• Experience implementing data quality frameworks and automated testing for data pipelines
• Knowledge of Git-based workflows and CI/CD pipelines for data applications
• Ability to work cross-functionally with data scientists, ML engineers, and business stakeholders

Preferred Knowledge and Experience

• Experience with self-hosted data orchestration platforms (rather than managed services)
• Background in implementing data contracts or schema governance
• Knowledge of ML/AI data pipeline requirements and feature engineering
• Experience with real-time data processing and streaming architectures
• Familiarity with data modeling and warehouse design principles
• Prior experience in a technical leadership role

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