Posted 8 days ago
AVP- Python Credit Risk Engineer - Risk Tech
AI Summary
Designs, develops, tests and supports Python-based credit risk applications that integrate with Numerix services to calculate PFE and other risk measures for financial products. Works with quants, business users and project managers across the full SDLC.
About this role
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 an 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:
- Work as a Software Engineer within Risk Management Technology, contributing to the design, development, testing, deployment, and support of risk applications.
- Partner with business users, quants, project managers, developers, and other stakeholders to understand requirements and implement scalable technical solutions.
- Perform functional, integration, regression, and non-functional testing to ensure solutions are ready for user acceptance testing.
- Verify implementations, troubleshoot issues, support releases, and assist with deployment of system modules into production.
Essential Experience/ Skills:
- Strong Python development skills with 5+ years of relevant application development experience for AVP level.
- Strong in Design, multithreading, DSA, hands-on, backend and strong data concepts
- 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)
- 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
- Experience in the financial services industry with knowledge of market risk (VaR, PnL vectors, etc) and/or counterparty credit risk (PFE, PE, etc) domains
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
- Ability to work independently on assigned deliverables while collaborating effectively with senior engineers, business users, and cross-functional teams.
Skills
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