Quantitative Analyst - Risk Management (Quant)

Placements24; Cape Town; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Medical aid

Retirement fund contributions

Life insurance

Conference eligibility

Professional growth opportunities

Job summary

Placements24 is seeking a highly skilled Quantitative Analyst in Cape Town to join its Risk Management division. You will develop and implement advanced models for market, credit, and operational risk, collaborating with trading desks and risk officers.

The role requires a Master's or PhD in a quantitative field and at least 5 years of experience, with strong programming in Python/C++/R/Java and a deep understanding of financial markets and derivatives.

Qualifications

• Master's degree or PhD in a quantitative field.
• Minimum 5 years of Quant experience in financial services.
• Proficiency in Python, C++, R, or Java.
• Strong knowledge of stochastic calculus, time series analysis, and statistical modeling.
• Knowledge of financial markets, derivatives, and risk management.
• Experience with data manipulation and analysis tools.
• Excellent problem-solving and attention to detail.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Must be based in or relocate to Cape Town, Western Cape.

Responsibilities

• Develop, validate, and implement quantitative models for risk measurement, pricing, and hedging of financial instruments.
• Perform complex data analysis and statistical modeling to identify, quantify, and forecast financial risks.
• Design and backtest trading strategies and risk management frameworks.
• Collaborate with trading desks, portfolio managers, and risk officers to provide quantitative insights.
• Ensure models comply with Basel III/IV and internal risk policies.
• Automate risk reporting processes and develop analytical tools.
• Stay updated on advancements in quantitative finance, econometrics, and ML.

Skills

Python

C++

R

Java

Quantitative Modeling

Stochastic Calculus

Time Series Analysis

Data Manipulation

Education

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

Tools

Pandas

Job description

About the Role

Our client, a leading financial institution headquartered in Cape Town, Western Cape , is seeking a highly skilled Quantitative Analyst (Quant) to join their sophisticated Risk Management division. This role is critical in developing and implementing advanced mathematical models and statistical techniques to assess and manage financial risks, including market risk, credit risk, and operational risk. The ideal candidate will possess exceptional analytical abilities, a strong programming background, and a deep understanding of financial markets and instruments. You will contribute to ensuring the firm's financial stability and regulatory compliance through rigorous quantitative analysis. This position offers a stimulating environment for a highly analytical individual to tackle complex challenges in the financial sector.

Key Responsibilities

• Develop, validate, and implement quantitative models for risk measurement, pricing, and hedging of financial instruments.
• Perform complex data analysis and statistical modeling to identify, quantify, and forecast financial risks.
• Design and backtest trading strategies and risk management frameworks.
• Collaborate with trading desks, portfolio managers, and risk officers to provide quantitative insights and support decision-making.
• Ensure all models and methodologies comply with regulatory requirements (e.g., Basel III/IV) and internal risk policies.
• Automate risk reporting processes and develop advanced analytical tools.
• Research and stay updated on the latest advancements in quantitative finance, econometrics, and machine learning.
• Communicate complex quantitative concepts clearly and concisely to both technical and non-technical stakeholders.
• Contribute to the development and enhancement of the firm's risk infrastructure.
• Conduct ad-hoc quantitative analysis as required to support business initiatives and regulatory requests.

Requirements

• Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 5 years of experience as a Quantitative Analyst in a financial services environment.
• Proficiency in programming languages such as Python, C++, R, or Java.
• Strong understanding of stochastic calculus, time series analysis, and statistical modeling.
• Knowledge of financial markets, derivatives, and risk management principles.
• Experience with data manipulation and analysis tools.
• Excellent problem-solving skills and attention to detail.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Must be based in or willing to relocate to Cape Town, Western Cape .

Benefits

Our client offers an attractive salary package with competitive bonuses, reflecting the specialized nature of this role. Comprehensive medical aid, retirement fund contributions, and life insurance are provided. Opportunities for professional growth, continuous learning, and attending leading industry conferences are actively encouraged. The role provides exposure to cutting-edge quantitative techniques and complex financial challenges within a dynamic team. Join our client's prestigious firm in the vibrant city of Cape Town, Western Cape , and contribute to robust financial risk management.