Lead Quantitative Analyst - Risk Management

Placements24; Mtubatuba Local Municipality; Hybride; ZAR 1 800 000 - 2 400 000; Plein temps

Avantages offerts par ce poste

Fully remote work

Health insurance

Retirement savings plan

Learning budget

Résumé du poste

Placements24 is seeking a Lead Quantitative Analyst to join its advanced risk management team in a fully remote capacity. The role focuses on designing, developing, and validating sophisticated risk models for market, credit, and operational risks, while mentoring a team of analysts and coordinating with cross-functional stakeholders.

Ideal candidates hold a PhD or Master’s in a quantitative field, with 10+ years of experience and at least 3 years in leadership.

Qualifications

• Ph.D. or Master's degree in a quantitative discipline such as Mathematics, Physics, Statistics, or Financial Engineering.
• 10+ years of experience in quantitative analysis, with at least 3 years in a leadership role.
• Expertise in stochastic calculus, time series analysis, and numerical methods.
• Proficiency in programming languages like Python, C++, or R for model development.
• Deep understanding of financial markets, derivatives, and risk management principles.
• Experience with regulatory frameworks such as Basel III is advantageous.

Responsabilités

• Design, develop, and validate quantitative risk models.
• Lead and mentor a team of quantitative analysts.
• Analyze financial instruments and market data to quantify risks.
• Develop stress tests and back-testing for model validation.
• Collaborate with risk, trading, and technology teams to deploy models.
• Ensure compliance with Basel III and internal model risk policies.

Connaissances

Leadership

Stochastic calculus

Time series analysis

Numerical methods

Formation

PhD or Master's in Mathematics/Statistics/Financial Engineering

Outils

Python

C++

R

Description du poste

About the Role

Our client is seeking a highly skilled and experienced Lead Quantitative Analyst to join their advanced risk management team, operating remotely. This senior position will be responsible for developing and implementing sophisticated quantitative models to assess and manage various financial risks, including market, credit, and operational risks. You will lead a team of analysts, mentor junior members, and collaborate with stakeholders across the organization to ensure robust risk frameworks. This is an exceptional opportunity to drive innovation in risk modeling from a remote setting, contributing to the stability and strategic direction of the company.

Key Responsibilities

• Design, develop, and validate complex quantitative models for risk assessment and pricing.
• Lead and mentor a team of quantitative analysts, overseeing model development and implementation.
• Conduct in-depth analysis of financial instruments and market data to identify and quantify risks.
• Develop stress testing scenarios and back-testing methodologies for model validation.
• Collaborate with risk management, trading, and technology departments to integrate models into business processes.
• Ensure compliance with regulatory requirements and internal policies for model risk management.

Requirements

• Ph.D. or Master's degree in a quantitative discipline such as Mathematics, Physics, Statistics, or Financial Engineering.
• 10+ years of experience in quantitative analysis, with at least 3 years in a leadership role.
• Expertise in stochastic calculus, time series analysis, and numerical methods.
• Proficiency in programming languages like Python, C++, or R for model development.
• Deep understanding of financial markets, derivatives, and risk management principles.
• Experience with regulatory frameworks such as Basel III is advantageous.

Benefits

• Highly competitive compensation package including substantial bonus opportunities.
• Fully remote work arrangement with significant flexibility.
• Comprehensive health insurance and retirement savings plans.
• Generous budget for continuous learning, conferences, and professional development.
• Exposure to challenging and impactful projects in a leading financial institution.