Remote Senior Quantitative Analyst

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Stock options

Bonuses

Health benefits

Retirement plan

Professional development

Job summary

Placements24 seeks a Senior Quantitative Analyst to join a fully remote global fintech team. You will develop pricing, risk, and trading models, run backtests, and translate complex math into robust software, leveraging Python, C++, and modern data libraries.

The role requires a PhD or MSc in a quantitative field, 5+ years in banking/finance, strong stochastic calculus and time-series knowledge, and expert coding in Python or C++. Excellent remote collaboration and communication are essential.

Qualifications

• PhD or MSc in Mathematics, Statistics, Physics, CS, Financial Engineering, or related field.
• 5+ years of quantitative analysis, financial modeling, or algo trading in banking/finance.
• Expert-level programming in Python, C++, or R with relevant libraries.

Responsibilities

• Develop, test, and implement quantitative models for pricing, risk, and trading strategies.
• Backtest and simulate studies to validate model performance.
• Write efficient code in Python, C++, or R for model implementation.
• Analyze large datasets to identify patterns and opportunities.
• Collaborate with traders, PMs, and risk managers to deliver solutions.
• Stay updated with academic research and ML advancements.
• Document methodologies and results thoroughly.
• Contribute to architecture and scalability of quantitative infrastructure.
• Provide expert insights on complex quantitative issues.

Skills

Python programming

C++ programming

Mathematical modeling

Stochastic calculus

Education

PhD or MSc in quantitative field

Tools

NumPy

Pandas

SciPy

Job description

About the Role

Our client, a leading global financial technology firm, is seeking an exceptional Senior Quantitative Analyst to join their completely remote team. This role is at the forefront of developing sophisticated mathematical models and algorithms for pricing, risk management, and algorithmic trading strategies. The ideal candidate will possess a strong academic background in a quantitative discipline, extensive experience in programming, and a deep understanding of financial markets. This remote position offers unparalleled flexibility and the opportunity to work on challenging problems with a globally distributed team of experts. Our client is dedicated to innovation and leverages cutting-edge technology to drive financial solutions. Your contributions will be essential in shaping the quantitative strategies of the firm, operating entirely from your chosen remote location.

Key Responsibilities

• Develop, test, and implement quantitative models for financial derivatives pricing, risk management, and trading strategies.
• Design and conduct backtesting and simulation studies to validate model performance.
• Write efficient and robust code in languages such as Python, C++, or R for model implementation.
• Analyze large datasets to identify patterns, market inefficiencies, and potential trading opportunities.
• Collaborate with traders, portfolio managers, and risk managers to understand needs and deliver quantitative solutions.
• Stay abreast of the latest academic research and industry advancements in quantitative finance and machine learning.
• Document methodologies, assumptions, and results thoroughly.
• Contribute to the architecture and scalability of the firm's quantitative infrastructure.
• Provide expert insights on complex quantitative issues to internal stakeholders.

Requirements

• Ph.D. or Master's degree in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
• Minimum of 5 years of experience in quantitative analysis, financial modeling, or algorithmic trading within the banking & finance sector.
• Expert-level programming skills in Python, C++, or R, including experience with relevant libraries (e.g., NumPy, Pandas, SciPy).
• Strong theoretical knowledge of stochastic calculus, time series analysis, statistical modeling, and machine learning.
• Proven ability to translate complex mathematical concepts into practical financial applications.
• Experience with data analysis tools and databases (SQL, NoSQL).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication skills, with the ability to explain complex quantitative concepts to non-technical audiences.
• Demonstrated experience working effectively in a remote team environment.

Benefits

• This remote role offers a highly competitive salary, significant performance bonuses, stock options, and a comprehensive benefits package including health, retirement, and professional development support.
• Our client promotes a culture of innovation, collaboration, and continuous learning within a flexible remote work setting.
• While remote, this role is aligned with our South African entity, supporting global financial markets.