Remote Quantitative Analyst

Placements24; Polokwane; Hybrid; ZAR 1,976,000 - 2,964,000; Full time

Benefits offered by this job

Performance bonus

Profit-sharing / equity options

Health insurance

Remote work stipend

Learning opportunities

Remote role with autonomy

Job summary

Placements24, on behalf of a cutting-edge FinTech, seeks a highly skilled Quantitative Analyst for a fully remote role. You will develop complex models for trading, risk management, and pricing derivatives, working with large datasets to drive investment performance.

This remote-first position offers flexibility, competitive compensation, and opportunities to contribute to innovative quantitative infrastructure within a collaborative team.

Qualifications

• Ph.D. or Master’s in a quantitative field (Math, Stats, CS, Econ, Physics).
• Minimum 5 years of experience as a Quantitative Analyst in finance.
• Proficient in Python, C++, or R with NumPy/SciPy/Pandas.
• Statistical modeling, time series analysis, ML, and numerical methods.
• Deep knowledge of financial markets, derivatives pricing, risk management, and portfolio theory.
• Experience with SQL and large datasets.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently in a remote setting.

Responsibilities

• Design, develop, test, and implement quantitative trading models and strategies.
• Build and maintain pricing and risk models for financial instruments.
• Analyze large datasets to identify market trends, patterns, and trading opportunities.
• Collaborate with portfolio managers and traders to refine models and strategies based on market feedback.
• Develop algorithms for trade execution, portfolio optimization, and risk control.
• Perform statistical analysis and back-testing of model performance.
• Ensure the accuracy, robustness, and efficiency of quantitative models.
• Stay abreast of the latest research in quantitative finance, machine learning, and econometrics.
• Document methodologies, model specifications, and results clearly.
• Contribute to the development of the firm's quantitative infrastructure and tools.

Skills

Python

C++

R

NumPy

SciPy

Pandas

Time series analysis

Machine learning

Quantitative finance

Communication

Education

PhD in quantitative field

Master's degree in quantitative field

Tools

SQL

Backtesting

Job description

About the Role

Our client, a cutting-edge FinTech firm, is seeking a highly skilled Quantitative Analyst to join their fully remote team. This role is pivotal in developing and implementing complex mathematical models and algorithms for trading strategies, risk management, and pricing derivatives. You will work with large datasets, employ advanced statistical techniques, and collaborate with traders and portfolio managers to drive investment performance. This is an exceptional opportunity for a technically adept professional in the Banking & Finance sector to thrive in a flexible, remote-first environment. As a remote employee, you will have the freedom to work from any location, contributing to our innovative solutions from anywhere.

Key Responsibilities

• Design, develop, test, and implement quantitative trading models and strategies.
• Build and maintain sophisticated pricing and risk models for various financial instruments.
• Analyze large datasets to identify market trends, patterns, and trading opportunities.
• Collaborate with portfolio managers and traders to refine models and strategies based on market feedback.
• Develop algorithms for trade execution, portfolio optimization, and risk control.
• Perform statistical analysis and back-testing of model performance.
• Ensure the accuracy, robustness, and efficiency of quantitative models.
• Stay abreast of the latest research in quantitative finance, machine learning, and econometrics.
• Document methodologies, model specifications, and results clearly.
• Contribute to the development of the firm's quantitative infrastructure and tools.

Requirements

• Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
• Minimum of 5 years of experience as a Quantitative Analyst in investment banking, hedge funds, asset management, or FinTech.
• Strong programming skills in languages like Python, C++, or R, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas, scikit-learn).
• Proficiency in statistical modeling, time series analysis, machine learning, and numerical methods.
• Deep understanding of financial markets, derivatives pricing, risk management, and portfolio theory.
• Experience with SQL and working with large datasets.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong communication and collaboration skills, with the ability to explain complex concepts.
• Ability to work independently and manage multiple projects in a remote setting.
• Demonstrated creativity and innovation in model development.

Benefits

• Our client offers a highly competitive salary, a performance-driven bonus structure, and potential profit-sharing or equity options.
• Benefits include comprehensive health, dental, and vision insurance.
• We provide a generous remote work stipend for home office setup and technology.
• Opportunities for continuous learning include access to specialized training, industry conferences, and subscriptions to leading research journals.
• This fully remote role offers unparalleled flexibility and autonomy.
• Join a highly intelligent and collaborative team focused on pushing the boundaries of quantitative finance.