Remote Lead Quantitative Analyst

Placements24; Rustenburg; Hybrid; ZAR 2,953,000 - 4,922,000; Full time

Job summary

Placements24 is seeking a Lead Quantitative Analyst for a fully remote role in global fintech. You will shape advanced models for pricing, risk, and algorithmic trading; mentor analysts; collaborate with traders and technologists.

PhD or MSc in a quantitative field, 8+ years in quant finance, expert Python/C++, stochastic calculus and ML, with remote leadership experience.

Qualifications

• PhD or Master's in a quantitative discipline.
• 8+ years in quantitative finance, with 3+ in lead roles.
• Proficient in Python, C++, and common libraries.
• Strong understanding of stochastic calculus and time series.
• Experience in trading algorithms and risk models.
• Knowledge of derivatives pricing and portfolio theory.
• Experience with large datasets and databases.
• Strong problem-solving and analytical skills.
• Excellent communication and leadership in remote teams.
• Ability to mentor analysts and drive projects.

Responsibilities

• Lead the research, design, and implementation of complex quantitative models for pricing, risk management, and algorithmic trading.
• Mentor and manage a team of quantitative analysts, providing technical guidance and fostering professional development.
• Collaborate with traders, portfolio managers, and technologists to translate business needs into quantitative solutions.
• Develop and validate sophisticated algorithms for high-frequency trading and portfolio optimization.
• Perform rigorous back-testing and performance analysis of trading strategies and models.
• Stay abreast of the latest academic research and market trends in quantitative finance.
• Contribute to the firm's intellectual property through publications and internal knowledge sharing.
• Ensure the robustness, scalability, and efficiency of deployed quantitative systems.
• Optimize existing models and develop new approaches to enhance trading performance and risk control.
• Champion best practices in coding, testing, and model validation within the quantitative team.

Skills

Python

C++

Machine learning

Time series analysis

Stochastic calculus

Quantitative finance

Trading algorithms

Education

PhD or MSc in Mathematics/Statistics/Physics/CS/Financial Engineering

Tools

NumPy

SciPy

Pandas

Job description

About the Role

Our client, a pioneering force in the global financial technology space, is seeking a highly experienced and visionary Lead Quantitative Analyst to join their expanding, fully remote team. This role is pivotal in driving innovation and developing sophisticated mathematical models and algorithms that underpin our client's trading strategies and risk management systems. As a remote-first organization, we embrace cutting-edge technology and seamless virtual collaboration. The ideal candidate will possess a profound understanding of financial markets, advanced statistical methodologies, and a proven track record of leading complex quantitative projects from conception to implementation. You will mentor a team of talented analysts, foster a culture of rigorous research, and contribute significantly to the firm's competitive edge. This position offers unparalleled autonomy and the opportunity to shape the future of quantitative finance from anywhere, with a focus on delivering exceptional results.

Key Responsibilities

• Lead the research, design, and implementation of complex quantitative models for pricing, risk management, and algorithmic trading.
• Mentor and manage a team of quantitative analysts, providing technical guidance and fostering professional development.
• Collaborate with traders, portfolio managers, and technologists to translate business needs into quantitative solutions.
• Develop and validate sophisticated algorithms for high-frequency trading and portfolio optimization.
• Perform rigorous back-testing and performance analysis of trading strategies and models.
• Stay abreast of the latest academic research and market trends in quantitative finance.
• Contribute to the firm's intellectual property through publications and internal knowledge sharing.
• Ensure the robustness, scalability, and efficiency of deployed quantitative systems.
• Optimize existing models and develop new approaches to enhance trading performance and risk control.
• Champion best practices in coding, testing, and model validation within the quantitative team.

Requirements

• A PhD or Master's degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 8 years of experience in quantitative finance, with at least 3 years in a lead or management role.
• Exceptional programming skills in Python, C++, or similar languages, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas).
• Deep understanding of stochastic calculus, time series analysis, machine learning, and statistical modeling.
• Proven experience in developing and implementing trading algorithms and risk models.
• Strong knowledge of financial markets, derivatives pricing, and portfolio theory.
• Experience with large datasets and database technologies.
• Excellent problem-solving, analytical, and critical thinking abilities.
• Superior communication and interpersonal skills, with the ability to articulate complex concepts to diverse audiences.
• Demonstrated ability to lead and inspire a team in a remote environment.

Benefits

Our client offers a highly competitive salary and performance-based bonus structure, reflecting the seniority and impact of this role. As a fully remote position, you will enjoy the flexibility and autonomy to work from any location. We provide a generous allowance for home office setup and professional development. Comprehensive health, dental, and vision insurance are included, along with a robust retirement savings plan. Opportunities for continuous learning, attending international conferences, and collaborating with world-class professionals are abundant. The culture emphasizes innovation, intellectual curiosity, and a results-driven approach, all managed through a sophisticated digital infrastructure. This is an exceptional opportunity to advance your career in quantitative finance on a global scale.