Wholesale Credit Quantitative Research - Senior Associate
On-siteJersey City, New Jersey, United States
Job Summary
Develop quantitative models and tools to assess central counterparty margin adequacy and support counterparty credit risk management for cleared derivatives. Build statistical analytics to evaluate the effectiveness of risk frameworks and partner with governance and control teams to oversee model lifecycles. Collaborate with technology partners to implement, test, and deploy production-ready solutions while documenting assumptions and methodologies for transparency. Communicate findings and recommendations clearly to technical and non-technical stakeholders. Requires a doctorate or master's degree in quantitative fields, three years of relevant experience, and proficiency in Python.
Required Qualifications
- Doctorate or master's degree (or equivalent) in financial engineering, operations research, statistics, mathematics, computer science, economics, or a related field
- 3 years of experience in quantitative research, quantitative strategy, or a closely related quantitative role
- Proficiency in Python for model development and data analysis
- Strong understanding of cleared derivatives and risk management methodologies, including value at risk and stress testing, across asset classes
- Excellent verbal and written communication skills, with the ability to articulate analysis clearly and logically
- Demonstrated attention to detail and the ability to deliver across multiple time-sensitive timelines
- Strong risk and control mindset and a track record of effective cross-team partnership
Desired Qualifications
- Proficiency in R in addition to Python
- Experience assessing central counterparty margin methodologies and margin adequacy
- Experience developing or enhancing counterparty credit risk models for derivatives
- Experience deploying analytical models into production environments in partnership with engineers
- Familiarity with model governance expectations, documentation, and ongoing monitoring practices
- Experience working with cleared products across multiple asset classes
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