At a Glance
- Tasks: Develop and maintain cutting-edge Counterparty Credit Risk applications using Python.
- Company: Join Citi, a leading global bank with a focus on innovation.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with exposure to advanced technologies like cloud computing.
- Why this job: Make an impact in financial technology while collaborating with top-tier teams.
- Qualifications: Proficient in Python and UNIX shell scripting; experience with CI/CD is a plus.
The predicted salary is between 63000 - 77000 £ per year.
Counterparty Credit Risk Analytics is a group within Citi Financial Risk Technology, responsible for developing the applications used for derivatives credit risk and Basel Capital calculations Firm-wide. The Counterparty Credit Risk Developer is an intermediate level position responsible for participation in the development and advancement of the derivatives credit risk application.
Core objectives will include:
- Developing and maintaining the applications calculating the Counterparty Credit Risk metrics.
- Contributing towards application execution analysis reports, monitoring and optimization of the application build and the enhancement of the end-to-end calculation test suite.
This is an excellent opportunity to gain exposure to a wide range of advanced technology paradigms like high performance grid computing. It will provide significant opportunities to collaborate with teams in the broader internal network including Front Office Technology, Risk and Quant groups, and exposure to high performance computing and cloud.
Responsibilities:
- Develop and maintain Counterparty Credit Risk applications.
- Enhance and support CI/CD processes, including build, testing, and release management.
- Optimize codebase performance and facilitate the transition to cloud-based workflows.
- Expand and execute test suites (unit, regression, integration) and conduct performance/memory profiling.
- Create and maintain comprehensive documentation for applications and processes.
- Collaborate with Quant and Technology teams to integrate model updates and new technologies.
- Analyze complex issues and provide evaluative judgments on business and system processes.
- Serve as a Subject Matter Expert (SME) for senior stakeholders and team members, exercising independent judgment.
Qualifications:
- Programming experience in Python, including systems analysis and software application development.
- Proficiency with UNIX shell scripting (e.g., bash, ksh) and version control software like Git.
- Experience with CI/CD pipeline technologies, such as Jenkins.
- Outstanding analytical and problem-solving skills with a thorough and detailed approach to accuracy.
- Experience in AWS cloud a plus.
- Excellent verbal and written communication skills in English.
- Ability to collaborate effectively within a large team of developers.
- Capacity to work under pressure, manage deadlines, and take ownership of tasks.
- Master’s degree or equivalent in computer science, mathematics, engineering, or physics.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
Counterparty Credit Risk Python Developer, AVP employer: CitiGroup
Citi is an exceptional employer that offers a dynamic work environment where employees can thrive and make a significant impact in the investment banking sector. With a strong focus on professional development, team collaboration, and community engagement, associates are empowered to grow their careers while contributing to meaningful projects within the Consumer, Luxury & Retail team. Located in a vibrant city, Citi provides unique opportunities for networking and exposure to leading global consumer players, making it an ideal place for ambitious professionals seeking rewarding employment.