Lead Quantitative Analyst (Quant)

Placements24; Pretoria; Hybrid; ZAR 1,500,000 - 2,300,000; Full time

Benefits offered by this job

Salary package

Performance bonuses

Health benefits

Development budget

Fully remote

Cutting-edge technology

Job summary

Placements24 is seeking a Lead Quantitative Analyst to drive advanced analytics from a remote position supporting the Pretoria region. You will design and implement quantitative models for trading, risk and pricing across asset classes, mentoring juniors and setting technical direction.

The role requires a PhD or Master’s in a quantitative field, 7+ years in quantitative finance, and strong Python/C++/R skills with numerical libraries. Remote leadership and problem-solving prowess are essential.

Qualifications

• PhD or Master’s in a quantitative field.
• 7+ years of experience in quantitative finance and model development.
• Proficient in Python, C++, or R and numerical libraries.
• Strong understanding of derivatives, markets and risk management.
• Proven ability to manage projects and lead remotely.
• Excellent problem-solving and analytical skills.

Responsibilities

• Design, develop, test, and implement quantitative models for trading, risk and pricing.
• Collaborate with traders, PMs, and risk officers to translate needs into solutions.
• Research and apply advanced mathematical, statistical, and ML techniques to financial problems.
• Backtest and validate models to ensure accuracy, robustness, and efficiency.
• Mentor junior analysts and set technical direction.
• Stay updated on developments in quantitative finance and technology.

Skills

Python

C++

R

Remote leadership

Education

PhD or Master’s in quantitative field

Tools

Numerical libraries

Job description

About the Role

Our client is looking for a highly skilled Lead Quantitative Analyst (Quant) to spearhead their advanced analytics initiatives from a remote position, supporting their operations in the Pretoria region. This role involves designing, developing, and implementing sophisticated quantitative models for trading strategies, risk management, and pricing complex financial instruments. You will be at the forefront of innovation, leveraging cutting-edge mathematical and statistical techniques to drive competitive advantage. This is a key leadership position within a globally recognized financial entity, offering significant impact and autonomy.

Key Responsibilities

• Design, develop, test, and implement quantitative models for trading, risk, and pricing across various asset classes.
• Collaborate with traders, portfolio managers, and risk officers to understand needs and translate them into quantitative solutions.
• Research and apply advanced mathematical, statistical, and machine learning techniques to financial problems.
• Ensure the accuracy, robustness, and efficiency of deployed models through rigorous backtesting and validation.
• Mentor junior quantitative analysts and contribute to the overall technical direction of the team.
• Stay abreast of the latest developments in quantitative finance and technology.

Requirements

• Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Computer Science, or Financial Engineering.
• Extensive experience (7+ years) in quantitative finance, with a strong focus on model development.
• Expertise in programming languages like Python, C++, or R, and proficiency with numerical libraries.
• Deep understanding of financial markets, derivatives, and risk management principles.
• Proven ability to manage projects and lead a team in a remote setting.
• Excellent problem-solving skills and a passion for intellectual challenges.

Benefits

• Exceptional salary package commensurate with experience and expertise.
• Performance-based bonuses and long-term incentive plans.
• Comprehensive health and wellness benefits.
• Significant budget for professional development, conferences, and learning resources.
• Fully remote work arrangement with state-of-the- ar technology support.
• Opportunity to work on cutting-edge financial technology and strategies.