The role will involve tasks such as:
- Developing and maintaining the Counterparty Credit Risk applications, leveraging in-house Python and C++ model libraries.
- Supporting and improving CI/CD (build, testing and release management) of the credit risk application.
- Contributing to the codebase to optimize performance and consolidate the workflow across asset classes.
- Extending existing test suites, including unit, regression, and integration tests. Performance and memory profiling. Assisting in the execution of impact analysis testing runs.
- Identifying and developing calculation optimization improvements
- Working on documentation.
- Working with Front Office teams to integrate quant library/technology enhancements into the codebase.
- Utilizing in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgements.
- Serving as advisor or coach to new or lower-level developers.
- Exercising independence of judgement and autonomy.
- Acting as SME to senior stakeholders and /or other team members.
Qualifications:
- Expert in Python
- Ability to write clean, tested highly efficient code.
- Proven track record of developing and supporting analytics library for derivatives pricing and risk.
- Experience developing software for Windows and Linux.
- Good command of scripting using UNIX Shell (ksh, bash, etc).
- Experience working collaboratively within development teams.
- DevOps experience, deep understanding of SDLC and CI/CD (GIT, Jenkins preferable).
- Outstanding analytical and problem-solving skills.
- Thorough and detailed approach to accuracy are essential.
- Ability to follow procedures and operate within strict guidelines.
- Excellent verbal and written English.
- Ability to take ownership and proactively follow up on issues.
- Ability to work in a team and to work well under pressure.
Advantage:
- Good knowledge in C++.
- In-depth knowledge of Rates, Credit, Equities, Commodities, FX derivatives.
- Experience working on Regulatory based projects such as Model Risk, Basel, Stress Testing, FRTB, CCAR is an advantage.
- Solid mathematical finance and statistical analysis skills.
- Familiarity with Numerical analysis/Monte-Carlo methods.
- Knowledge of probability and stochastic calculus.
Master’s degree or equivalent in computer science, mathematics, engineering or physics.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Applications DevelopmentFull timeNew York New York United States$142,320.00 - $213,480.00
Anticipated Posting Close Date:
Apr 17, 2025View the " " poster. View the .
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