Vacancy expired!
- Bachelor’s degree (preferably in Risk Management, Accounting, (Computational/Quantitative) Finance, or Economics) or equivalent work experience required
- 2-4 years of counterparty credit risk or relevant financial services industry experience
- Master’s degree or progress towards a Master’s degree
- Proficient in Microsoft Office, including Excel experience using lookups and pivot tables to perform data analysis, and comfortable developing PowerPoint presentations
- Proficient in SQL, including the ability to write and edit queries to assist with mining and visualizing data from multiple sources.
- Experience using data visualization software (e.g., Tableau, Power BI)
- Coding skills e.g., SAS, Python or other languages, experience with large data sets
- Intermediate-to-Advanced quantitative, analytical, problem-solving skills, including the ability to accumulate, organize, and assimilate large amounts of information.
- Experience with systems implementation, including developing business requirements, testing and familiarity with scheduling tools (e.g., UC4)
- Experience using Bloomberg and/or S&P Global Market Intelligence, and the technical ability to connect these tools to Excel preferred
- Independently analyze financial statements to identify levels and trends in key metrics and ratios
- Perform and document assessments on clearing member’s risk management policies, procedures, processes, staff, and systems to understand how the member is mitigating its risk
- Manage the applications of new counterparties and document results for presentation to senior management and Board Risk Committee for approval
- Collaborate with other Financial Risk Management teams and counterparty-facing departments to assess all risks posed by counterparties
- Ensure counterparty inquiries are addressed regarding risk policies and procedures as well as time-sensitive questions regarding margin requirements and position movements
- Support system, data, and risk methodology development, review data and risk methodologies during annual reviews, and identify underlying methodology assumptions with a comprehensive set of special cases
- Develop and conduct advanced data analytics and reporting to identify and analyze causal links and meaningful relationships (e.g., correlations, distributions, percentiles) across large and/or multi-sourced data sets, determine best methods and visuals to communicate analytical insights, and deliver compelling and easy to understand narratives of those insights to support executive decision making
- Develop, maintain, and adhere to written policies and procedures
Vacancy expired!