Market Risk Python Developer

***We are unable to sponsor for this permanent full-time role***

***Position is bonus eligible***

Prestigious Financial Institution is currently seeking a Market Risk Python Developer. Candidate will perform a broad array of risk management activities to support the clearing and settlement services. Risk Management activities include monitoring Clearing Member accounts for excessive risk with a particular focus on intraday risk management. Candidate will assist team leaders as a resource in problem solving, guiding department and corporate projects, as well as proposing new controls and process improvements.

Responsibilities:

• Analyze market risk exposures for products and accounts cleared including equities, futures, index and equity options, options on futures and government securities.
• Develop tools and reports using large data sets to assist with financial risk analysis and reporting.
• Conduct ad-hoc data analysis for senior management during critical market events.
• Monitor current financial market conditions including corporate earnings and key economic announcements to assess the potential impact on the Clearing Member portfolios.
• Monitor clearing members’ trading positions and collateral for sensitivities to various risk factors using the market risk methodologies including Monte Carlo and Stress Testing.
• Assist the Market Risk Team with proposing, developing and specifying requirements for a best-in-class intraday market risk system along with a suite of proprietary technological tools.
• Work collaboratively with other functions including the Quantitative Risk Management team and various IT teams.

Qualifications:

• Proficient understanding of statistical concepts, derivatives pricing, securities markets and options trading strategies.
• Intermediate Microsoft Excel skills in addition to familiarity with Python scripting and Database technologies.
• Strong interpersonal, organizational, problem-solving, and time-management skills.
• Ability to work independently in a fast-paced, dynamic environment.
• Must be able to work under deadlines and manage multiple initiatives and tasks.

• Required: 2+ years current Python scripting and Database experience.
• Experience with Python libraries such as Pandas and NumPy and version control systems (e.g. Git) preferred.
• SQL experience including knowledge of subqueries, CTEs, windows functions, partitions, advanced join commands, and using grouping and aggregate functions.
• Experience with Bloomberg API preferred.

• Bachelor’s Degree in Finance, Economics, Risk Management, Statistics, Computer Science or related field.
• Two or more years of experience in capital markets, back-office operations, risk management or technical field.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.