Senior Quantitative Analyst (Quant)

Placements24; East London; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Remote work

Bonus potential

Professional development

Trading infrastructure access

Job summary

Placements24 is seeking a Senior Quantitative Analyst to design, develop, and implement advanced mathematical models for pricing, hedging, risk management, and derivative products in a fully remote fintech setting.

You will work with traders and engineers on backtesting, strategy design, and data-driven insights, applying stochastic calculus and time-series methods to global markets.

Qualifications

• PhD or Master's in a highly quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Minimum of 5 years of experience as a Quantitative Analyst in investment banking, hedge funds, or asset management.
• Expert proficiency in programming languages such as C++, Python, or R, and experience with relevant mathematical libraries.
• Deep understanding of stochastic calculus, time series analysis, and financial econometrics.
• Proven ability to translate complex mathematical concepts into practical financial applications.

Responsibilities

• Develop and implement complex mathematical models for pricing, hedging, and risk management of financial instruments.
• Design and backtest quantitative trading strategies across various asset classes.
• Analyze market data to identify trading opportunities and optimize portfolio performance.
• Collaborate with software engineers to implement models and trading systems into production.
• Conduct rigorous statistical analysis and simulations to validate model performance and stability.
• Stay abreast of the latest advancements in quantitative finance, machine learning, and computational methods.

Skills

C++

Python

R

Stochastic calculus

Time series analysis

Financial econometrics

Education

PhD or Master's in Mathematics/Physics/Statistics/CS/FE

Tools

Numerical libraries

Backtesting frameworks

Job description

About the Role

Our client, a cutting-edge fintech company with a fully remote operational model, is seeking a highly skilled Senior Quantitative Analyst (Quant) to join their elite team. This role is pivotal in designing, developing, and implementing sophisticated mathematical models for trading strategies, risk management, and pricing financial derivatives. You will work with vast datasets, leverage advanced statistical techniques, and collaborate closely with traders and engineers to drive innovation in financial markets. This position offers a challenging and rewarding opportunity to apply quantitative expertise in a dynamic, fast-paced, and globally distributed environment, contributing to the firm's algorithmic trading success.

Key Responsibilities

• Develop and implement complex mathematical models for pricing, hedging, and risk management of financial instruments.
• Design and backtest quantitative trading strategies across various asset classes.
• Analyze market data to identify trading opportunities and optimize portfolio performance.
• Collaborate with software engineers to implement models and trading systems into production.
• Conduct rigorous statistical analysis and simulations to validate model performance and stability.
• Stay abreast of the latest advancements in quantitative finance, machine learning, and computational methods.

Requirements

• PhD or Master's degree in a highly quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Minimum of 5 years of experience as a Quantitative Analyst in investment banking, hedge funds, or asset management.
• Expert proficiency in programming languages such as C++, Python, or R, and experience with relevant mathematical libraries.
• Deep understanding of stochastic calculus, time series analysis, and financial econometrics.
• Proven ability to translate complex mathematical concepts into practical financial applications.

Benefits

• Exceptional salary package and substantial performance-based bonuses.
• Fully remote work arrangement, offering unparalleled flexibility and global reach.
• Opportunities for significant professional development and contribution to high-impact projects.
• Access to sophisticated trading infrastructure and vast financial datasets.
• Collaborative and intellectually stimulating work environment with leading experts in quantitative finance.