*Hybrid, 3 days onsite, 2 days remote*

*We are unable to sponsor as this is a permanent Full time role*

A prestigious financial company is looking for a Senior Associate, Python Developer - Market Risk. This company is looking for someone with 2+ years of Python development experience working with market risk products, tools, and data sets to help with financial risk analysis and reporting. Also needed is working experience with databases, Pandas and NumPy and version control systems, etc.

Responsibilities:

• Analyze market risk exposures for products and accounts 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 company Member portfolios.
• Monitor clearing members' trading positions and collateral for sensitivities to various risk factors using the company's 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 at the company including the Quantitative Risk Management team and various IT teams.

Qualifications:

• 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.
• 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.
• 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.