Quantitative Risk Associate - Private Credit - Coda Search Staffing : Job Details

We are currently partnered with a top Private Credit fund looking to expand their risk management organization by bringing on a Quant Risk Associate into the group. This team is know for having members of strong academic pedigree and being a dynamic group within the organization.

As a Quantitative Risk Associate, you will play a pivotal role in managing risk across the portfolio, leveraging quantitative modeling, sophisticated tools, and strategic analysis. You will work closely with the Risk Management, Investment Teams, Technology, and Operations to develop and implement risk strategies, optimize portfolio performance, and contribute to the overall success of the firm.

Responsibilities:

• Develop and maintain quantitative models to assess and manage risk exposure across the Private Credit portfolio.
• Build tools and reports to facilitate risk monitoring, analysis, and reporting for internal stakeholders and investors.
• Collaborate with Portfolio Managers and other cross-functional teams to ensure alignment of risk management strategies with investment objectives.
• Conduct in-depth analysis of portfolio performance, identifying areas for optimization and risk mitigation.
• Assist in the development and implementation of risk management policies and procedures.
• Stay abreast of industry trends, regulatory developments, and best practices in risk management to enhance the firm's competitive advantage.
• Contribute to ad-hoc projects and initiatives as needed to support the Risk Management team and broader organization.

Qualifications:

• Advanced degree in a quantitative field such as Mathematics, Statistics, Engineering, Finance, or a related discipline.
• 2-4 years of relevant experience in risk management, quantitative modeling, or a similar role within the financial services industry, preferably within Private Credit, banking, or alternative investments.
• Proficiency in programming languages such as Python for quantitative analysis and modeling.
• Strong analytical skills with the ability to interpret complex data sets and derive actionable insights.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
• Detail-oriented with a proactive mindset and the ability to thrive in a fast-paced, deadline-driven environment.
• A commitment to continuous learning and professional development, with a passion for staying ahead of industry trends and best practices.