VP - Market Risk Data Analytics

Selby Jennings; Jersey City (NJ); On-site; USD 140,000 - 210,000; Full time

Job summary

Selby Jennings is seeking a Senior Risk Data Modeler for its Global Markets Risk Technology team in Jersey City, NJ. The role focuses on designing, developing, and implementing enterprise data models to support strategic risk programs such as SRPL and FRTB.

You will collaborate with technology and business teams to translate complex risk data requirements into scalable data solutions, lead data governance efforts, and mentor junior staff across a global environment.

Qualifications

• 5+ years in Data Modeling/Architecture/Engineering within financial services.
• Experience using PowerDesigner to create logical/physical data models.
• Knowledge of relational and distributed DB technologies (Oracle, DB2, Hadoop, etc.).
• Experience building data pipelines and architectures for analytical/operational use.
• Proficiency in SQL and Python; familiarity with Kafka/Spark.

Responsibilities

• Lead design and implementation of data models, dictionaries, and architectures for risk programs incl. FRTB/SRPL.
• Collaborate with stakeholders to translate requirements into scalable data structures.
• Develop data pipelines, metadata management, and data quality controls.
• Drive data governance, lineage, and source management per standards.
• Provide technical leadership, mentor team, and support risk tech initiatives.

Skills

Data Modeling

Data Architecture

Data Engineering

SQL

Python

Shell scripting

Kafka

Spark

Tools

PowerDesigner

Oracle

DB2

Sybase

Hadoop

Impala

Kudu

Iceberg

Job description

A leading American Investment Bank is seeking to hire a Senior Risk Data Modeler within its Global Markets Risk Technology team. This individual will support strategic and regulatory initiatives across the organization and play a key role in the design, development, and implementation of enterprise data models supporting critical programs including Strategic Risk & PnL (SRPL), Fundamental Review of the Trading Book (FRTB), and other market risk data initiatives. The position offers significant exposure to business stakeholders, application development teams, database platform teams, and risk technology leadership across a complex global environment.

The team is responsible for the architecture, governance, and management of risk data platforms supporting both Global Market Risk Technology and Counterparty Credit Risk Technology. This includes data modeling, data lineage, data dictionaries, authoritative source management, database architecture, performance engineering, and the design of scalable data solutions supporting regulatory and strategic risk programs. The successful candidate will partner closely with technology and business teams to ensure that complex risk data requirements are accurately represented within enterprise data models and platforms.

This opportunity is ideal for a senior data professional with deep expertise in data modeling, data architecture, and data engineering within financial services. Candidates should possess strong database and data governance knowledge, experience working with large-scale distributed data environments, and the ability to translate complex business requirements into scalable data solutions. Prior experience supporting market risk, counterparty credit risk, regulatory reporting, FRTB, or other risk management initiatives is highly desirable.

Responsibilities

• Lead the design and implementation of data models, data dictionaries, and data architecture solutions supporting strategic and regulatory risk programs, including FRTB and SRPL.
• Partner with business stakeholders, application development teams, and technology partners to translate business requirements and data flows into scalable data structures and enterprise data models.
• Develop and support data pipelines, data integration processes, metadata management frameworks, and data quality controls across complex risk data environments.
• Drive data governance initiatives including data lineage, authoritative source management, data discovery, and adherence to enterprise data management standards.
• Provide technical leadership across project delivery, testing, performance analysis, and issue resolution while mentoring team members and supporting critical risk technology initiatives.

Qualifications

• 5+ years of experience in Data Modeling, Data Architecture, Data Engineering, or a related data management function within financial services.
• Strong expertise with enterprise data modeling tools such as PowerDesigner, along with experience creating logical and physical data models, data dictionaries, and metadata frameworks.
• Deep knowledge of relational and distributed database technologies including Oracle, DB2, Sybase, Hadoop, Impala, Kudu, Iceberg, or similar large-scale data platforms.
• Hands-on experience building data pipelines, data ingestion frameworks, distributed data systems, and data architecture solutions supporting analytical and operational environments.
• Proficiency in SQL and experience with Python, Shell scripting, Kafka, Spark, or related technologies. Prior exposure to Market Risk, Counterparty Credit Risk, FRTB, or other regulatory risk initiatives is highly preferred.