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Key responsibilities will include identifying and implementing optimizations with respect to the execution run-time and consolidating development across asset classes.
The role will involve tasks such as:
- Development and maintenance of the in-house Python and C++ model libraries.
- Identifying and developing calculation optimization improvements
- Supporting the build, testing and release management of the credit risk application
- Work on Regulatory and Governance based projects across a range of the asset classes
- Providing regular development updates to stakeholders
- Performing data analysis and producing regular reports
Qualifications:
- Excellent command of programming using Python and C++
- Proven track record of developing and supporting analytics library for derivatives pricing and risk
- In-depth knowledge of Rates, Credit, Equities, Commodities, FX derivatives is an advantage
- 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
- Knowledge of probability and stochastic calculus
- Familiarity with Numerical analysis/Monte-Carlo methods is a plus
- Experience developing software for Windows and Linux
- Good command of scripting using UNIX Shell (ksh, bash, etc)
- Proficiency with version control software like Git, TortoiseSVN
- Familiarity with CI/CD pipeline technologies like 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
Master’s degree (PhD preferred) or equivalent in computer science, mathematics, engineering or physics.
Applications Development
Time Type:
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