Lead Big Data Engineer – VP Risk Analytics

About the Role

Provide technical leadership and execution expertise to scale enterprise risk platforms, drive regulatory and business transformation initiatives, strengthen engineering best practices, and reduce delivery risk across the technology landscape. Play a key role in building and enhancing risk analytics solutions that support daily risk management activities, regulatory reporting, and the calculation, validation, and sign-off of key risk measures, including FRTB and VaR. Work closely with Risk Managers, Quants, and Front Office stakeholders to deliver a sustainable and scalable technology capability aligned with the firm's long-term risk management and analytics strategy.

Responsibilities

• Design, develop, and maintain scalable software solutions using object-oriented programming principles and modern frameworks such as FastAPI, Spring Boot, Flask, Apache Airflow, and HPC/Symphony Grid technologies.
• Build and optimize data-intensive applications leveraging Python, Java, Spark, SQL, Hadoop, Pandas, NumPy, Unix, and PowerShell scripting, while working with PostgreSQL and MongoDB databases.
• Implement robust testing and deployment practices using PyTest, unit testing frameworks, and Python package management tools including pip, Poetry, and Conda to ensure software quality and reliability.
• Deliver high-quality, production-grade solutions in financial services environments, adhering to industry standards, best practices, and performance requirements.
• Develop and orchestrate end-to-end data transformation, enrichment, and workflow automation pipelines to support analytics, risk management, and business-critical operations.
• Build and maintain infrastructure platforms and products that support applications and data systems, ensuring reliability, scalability, and security.
• Monitor IT infrastructure and system performance to identify, address, and resolve potential issues, vulnerabilities, or outages, using data to drive down mean time to resolution.
• Develop and implement automated tasks and processes to improve efficiency and reduce manual intervention.
• Implement secure configurations and measures to protect infrastructure against cyber-attacks, vulnerabilities, and unauthorized access.
• Collaborate cross-functionally with product managers, architects, and other engineers to define IT infrastructure requirements and ensure seamless integration with business objectives.
• Stay informed of industry technology trends and innovations, contributing to the organization's technology communities to foster technical excellence and growth.
• Manage and mitigate risks through assessment, supporting the control and governance agenda.
• Create solutions based on sophisticated analytical thought, comparing and selecting complex alternatives to define problems and develop innovative solutions.

Requirements

• Good experience with cloud-based data and analytics platforms, including AWS, Azure, Databricks, and Snowflake.
• Solid understanding of risk management frameworks and regulatory requirements, including VaR, FRTB, and Basel, with expertise in data governance, security, and regulatory controls.
• Proven ability to collaborate effectively across cross-functional teams, partnering with Quantitative Analysts, Risk Managers, and Front Office stakeholders.
• Demonstrated leadership in setting strategy, driving requirements, and making recommendations for change.
• Experience in planning resources, budgets, and policies; managing and maintaining policies/processes; and delivering continuous improvements.
• Comprehensive understanding of organizational functions to contribute to achieving business goals.
• Ability to build and maintain trusting relationships with internal and external stakeholders to accomplish key business objectives.

Skills

• Python, Java, Spark, SQL, Hadoop, Pandas, NumPy
• FastAPI, Spring Boot, Flask, Apache Airflow, HPC/Symphony Grid
• PostgreSQL, MongoDB
• Unix, PowerShell scripting
• PyTest, unit testing frameworks, pip, Poetry, Conda

Benefits

• Medical, dental, and vision coverage
• 401(k) retirement plan
• Life insurance
• Paid leave for qualifying circumstances
• Eligibility for an incentive award

Pay

Base salary range: $170,000 – $230,000

Location

Whippany, NJ office