Collaborate with Quantitative Research, Model Development, and Front Office Technology teams to integrate analytical models into strategic platforms.
Enhance and support risk calculation workflows across multiple asset classes.
Analyze and optimize application performance, scalability, and reliability.
Develop and maintain automated testing frameworks including unit, integration, and regression testing.
Support CI/CD pipelines, release activities, and platform modernization initiatives.
Investigate and resolve application, analytical, and production support issues.
Collaborate with global stakeholders across Risk, Quantitative Analytics, and Technology organizations.
Produce high-quality technical documentation and adhere to engineering best practices.
Participate in code reviews and contribute to continuous improvement initiatives.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, Financial Engineering, or a related discipline.
3 to 6 years of professional software development experience.
Strong hands-on Python programming experience with object-oriented design principles.
Experience building and supporting enterprise-grade applications.
Strong understanding of data structures, algorithms, and software engineering fundamentals.
Experience developing applications on Linux/Unix platforms.
Familiarity with Git, CI/CD pipelines, and Agile development methodologies.
Experience with SQL and data processing frameworks.
Strong analytical and problem-solving skills.
Excellent verbal and written communication skills.
Ability to work effectively within global and cross-functional teams.
Preferred Qualifications
Experience in Capital Markets, Risk Technology, or Financial Services environments.
Understanding of derivatives, risk management, or quantitative analytics concepts.
Knowledge of Counterparty Credit Risk (CCR), Exposure Analytics, XVA, or Market Risk.
Exposure to quantitative libraries and numerical computation frameworks.
Experience with Python data science libraries such as NumPy, Pandas, and SciPy.
Familiarity with cloud technologies, distributed computing, or high-performance computing environments.
Basic knowledge of C++ is a plus.
Experience working with quantitative analysts, model developers, or Front Office technology teams.
Job Family Group
Technology
Job Family
Applications Development
Time Type
Full time
- Most Relevant Skills
- Please see the requirements listed above.
- Other Relevant Skills
- For complementary skills, please see above and/or contact the recruiter.
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