VP- Python Credit Risk Lead Engineer - Risk Tech

Company

Jefferies, the global investment banking firm, has served companies and investors for over 50 years. Headquartered in New York, with offices in over 30 cities around the world, the firm provides clients with capital markets and financial advisory services, institutional brokerage and securities research, as well as wealth management. The firm provides research and execution services in equity, fixed income, and foreign exchange markets, as well as a full range of investment banking services including underwriting, mergers and acquisitions, restructuring and recapitalization, and other advisory services, with all businesses operating in the Americas, Europe and Asia.

Position / Group description

The Risk Management Technology group provides support to global Risk Management in the areas of technology and information processing for measuring, quantifying, analyzing, controlling, and reporting Risk exposures for traded securities products.

The position is for a senior engineer who will be part of Technology team supporting the Global Risk Management Technology group. The work assignments will include playing a key developer role in major project related work. Projects will include custom development, implementation and integration of vendor products, and enhancement/support of existing on-premises and cloud-based systems.

The Role will involve designing, developing, enhancing, testing and implementing solutions to integrate with Numerix services for the calculation of PFE and other risk measures for multiple financial products by coordinating requirements, schedules, and activities; contributing to team meetings; troubleshooting issues and resolving production problems along with supporting users by developing documentation and assistance tools.

Primary Responsibilities

• Serve as a VP-level technical lead within Risk Management Technology, responsible for delivering scalable, reliable, and business-critical risk applications.
• Partner with business users, quants, project managers, developers, and other stakeholders to understand requirements, architect and implement scalable technical solutions.
• Perform and oversee functional, integration, regression, and non-functional testing to ensure solutions are stable, scalable, and ready for user acceptance testing and production deployment.
• Own implementation verification, release readiness, production deployment, post-release validation, and ongoing support for delivered modules.

Essential Experience/ Skills

• Strong hands-on Python development experience with 6+ years of relevant experience designing, developing, testing, and supporting enterprise applications.
• Strong Risk Analytics knowledge and experience required.
• Experience and knowledge of SDLC and agile methodologies and development processes such as requirement gathering, analysis and definition, prototyping, proof of concept, designing and implementation
• Strong SQL skills and experience on Snowflake, Oracle or other RDBMS data platforms
• Experience across a broad range of AWS services (Amazon EKS, Lambda, EC2, S3, etc)
• Experience in the financial services industry with knowledge of counterparty credit risk (PFE, PE, etc) domains (market risk experience a plus)
• Bachelor’s degree, preferably in Computer Science, Engineering, or Mathematics

Preferred

• Experience with Numerix OneView and/or CrossAsset
• Experience of using GIT based source control repository and tools such as Bitbucket and SourceTree.
• Experience of using Jira for full development cycle (requirement to deployment).
• Hands-on experience with Java and related enterprise frameworks

Personal Attributes

• Strong analytical, verbal and written communication skills
• Self-starter and entrepreneurial in approach
• Ability to escalate / follow-up proactively
• Good time management skills
• Strong technical and people leadership skills, with the ability to mentor engineers, delegate effectively, manage delivery priorities, provide architectural direction, and drive accountability across projects.