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Senior Associate, Market Risk & Default Management - Python Developer

SALARY: $91k - $100k - $106k plus 6% - 10% bonus

LOCATION: CHICAGO, IL

2 days remote and 3 days onsite, hybrid

Looking for a candidate with 2 years python developer with database python libraries such as pandas and NumPY and version control system. BS degree two years capital markets or securities or options or equities futures index equity or derivative background in the financial industry

Risk Management activities include monitoring Clearing Member accounts for excessive risk with a particular focus on intraday risk management. The Senior Associate will assist team leaders as a resource in problem solving, guiding department and corporate projects, as well as proposing new controls and process improvements. The Senior Associate will also develop materials for presentation to to leaders, the Management Committee, regulators and auditors.

Primary Duties and Responsibilities:

• Analyze market risk exposures for products and accounts
• 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 at the including the Quantitative Risk Management team and various IT teams.

Qualifications:

Technical Skills:

• 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.

Education and/or Experience:

• 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.