VP Risk Analytics: Lead Big Data Engineer

Barclays; Whippany (NJ); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Incentive award

Competitive benefits package

Job summary

Barclays in Whippany, NJ is seeking a Lead Big Data Engineer – VP Risk Analytics to guide scalable enterprise risk platforms and support critical regulatory reporting and risk calculation processes.

You will partner with Risk Managers, Quants, and Front Office to drive transformation, codify engineering best practices, and reduce delivery risk while delivering high-quality, production-grade solutions in a financial services environment.

Qualifications

• Experience delivering production-grade data analytics solutions in financial services.
• Strong leadership for enterprise risk platforms.
• Experience with risk metrics such as VaR, FRTB, Basel.
• Knowledge of data governance, security, and regulatory controls.

Responsibilities

• Lead design and implementation of risk analytics platforms.
• Collaborate with Risk Managers, Quants, and Front Office stakeholders.
• Ensure testing and deployment practices are robust and automated.
• Develop end-to-end data transformation and workflow pipelines.

Skills

Big Data

Python

Java

Spark

SQL

Hadoop

Airflow

Data pipelines

Cloud platforms

Tools

PostgreSQL

MongoDB

PyTest

Docker

Airflow

Databricks

Snowflake

Job description

Barclays in Whippany, NJ is seeking a Lead Big Data Engineer – VP Risk Analytics to guide scalable enterprise risk platforms and support critical regulatory reporting and risk calculation processes.

You will partner with Risk Managers, Quants, and Front Office to drive transformation, codify engineering best practices, and reduce delivery risk while delivering high-quality, production-grade solutions in a financial services environment.