*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 (eg 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.