Lead Quantitative Analyst - Financial Modeling

Placements24; Noord-Kaap; Hybrid; ZAR 1.200.000 - 1.600.000; Vollzeit

Benefits dieser Stelle

Performance bonuses

Health coverage

Retirement planning

Professional growth

Zusammenfassung

Placements24 is seeking a Lead Quantitative Analyst for a fully remote role, with base contact in Kimberley, Northern Cape. You will design and implement sophisticated models for pricing, risk and trading strategies across financial instruments, while leading a team of analysts and mentoring junior members.

The position requires a PhD or Master's in a quantitative field, 7–10 years in banking/finance, and strong skills in stochastic calculus, time series analysis, econometrics, machine learning,

Qualifikationen

• PhD or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, CS or Financial Engineering.
• 7–10 years of quantitative analysis experience in banking/finance with a track record of model development.
• Strong theoretical and practical knowledge of stochastic calculus, time series, econometrics, ML, and numerical methods.

Aufgaben

• Design, develop, and implement advanced quantitative models for pricing, risk, and trading strategies.
• Lead and mentor a team of quantitative analysts and collaborate with traders, risk managers, and product developers.
• Perform back-testing and validation to ensure accuracy and regulatory compliance.
• Translate business needs into quantitative frameworks and communicate results to technical and non-technical audiences.
• Ensure documentation is thorough and compliant with internal and external requirements.

Kenntnisse

Python

C++

R

Stochastic Calculus

Time Series Analysis

Leadership

Communication

Ausbildung

PhD or Master's in quantitative field

Tools

NumPy

SciPy

Pandas

Scikit-learn

Jobbeschreibung

About the Role

Our client, a leading financial services provider, is seeking an exceptional Lead Quantitative Analyst to join their innovative team, operating remotely but based out of **Kimberley, Northern Cape**. This senior role is responsible for developing and implementing sophisticated quantitative models for pricing, risk management, and trading strategies across various financial instruments. You will leverage your advanced mathematical and statistical skills to solve complex financial problems and drive cutting-edge solutions. The successful candidate will lead a team of quantitative analysts, mentor junior members, and collaborate closely with business stakeholders to translate business needs into quantitative frameworks. This is a fully remote position offering the flexibility to work from anywhere, while contributing to a globally recognized financial entity.

Key Responsibilities

• Design, develop, test, and implement advanced quantitative models for pricing derivatives, risk assessment, and algorithmic trading.
• Lead and mentor a team of quantitative analysts, providing technical guidance and fostering professional development.
• Collaborate with traders, risk managers, and product developers to understand business requirements and translate them into quantitative solutions.
• Perform rigorous back-testing and validation of models to ensure accuracy, robustness, and compliance with regulatory standards.
• Stay at the forefront of academic research and industry best practices in quantitative finance, identifying opportunities for innovation.
• Develop and maintain high-quality, production-ready code in languages such as Python, C++, or R.
• Analyze large datasets to identify patterns, correlations, and insights relevant to financial markets and risk.
• Contribute to the firm's strategic direction by providing quantitative expertise and innovative solutions.
• Effectively communicate complex quantitative concepts and model results to both technical and non-technical audiences.
• Ensure model documentation is thorough, accurate, and compliant with internal and external requirements.

Requirements

• PhD or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Minimum of 7-10 years of experience in quantitative analysis within the **banking & finance** sector, with a proven track record of model development and implementation.
• Strong theoretical and practical knowledge of stochastic calculus, time series analysis, econometrics, machine learning, and numerical methods.
• Expert proficiency in programming languages like Python (NumPy, SciPy, Pandas, Scikit-learn), C++, or R.
• Experience with large-scale data analysis and big data technologies is a plus.
• Demonstrated ability to lead a team and manage complex projects effectively.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Superior communication and presentation skills, capable of explaining intricate technical details.
• Experience with derivative pricing and risk management models is essential.

Benefits

• This fully remote position offers a highly competitive salary, performance-based bonuses, and an attractive benefits package including comprehensive health coverage, retirement planning options, and significant opportunities for professional growth and skill enhancement.
• You will have the flexibility to work from anywhere, coupled with the resources and support of a leading financial institution.
• The company fosters a culture of continuous learning and innovation, providing access to advanced training programs, industry conferences, and cutting-edge technologies.
• Join our forward-thinking team and make a substantial impact from **Kimberley, Northern Cape** or your chosen remote location.