Remote Senior Quantitative Analyst

Placements24; Klerksdorp; Hybrid; ZAR 1,200,000 - 2,400,000; Full time

Job summary

Placements24 is seeking a Senior Quantitative Analyst for a fully remote role with a leading fintech. You will design, backtest, and implement sophisticated models for trading, risk management, and portfolio optimization, using Python or R and producing production-ready solutions.

You’ll work with data at scale, apply time series methods, econometrics, and ML, and collaborate with trading teams to improve strategies.

Qualifications

• PhD or MS in a quantitative field such as Mathematics, Statistics, Physics, CS, or Financial Engineering.
• Minimum of 5 years of experience in quantitative analysis in hedge funds, investment banks, or fintech.
• Advanced programming skills in Python, R, C++, or similar languages.
• Expertise in statistical modeling, machine learning, time series analysis, and econometrics.

Responsibilities

• Design, develop, and backtest complex quantitative models for financial markets.
• Implement and deploy models into production using Python or R.
• Conduct rigorous statistical analysis of market data to identify patterns and opportunities.
• Develop and refine risk management frameworks and tools.
• Collaborate with portfolio managers and traders to enhance investment strategies.
• Analyze the performance of quantitative strategies and provide performance attribution.
• Research and evaluate new quantitative methodologies and technologies.
• Document model methodologies, assumptions, and limitations clearly.
• Contribute to the development of automated trading systems and data pipelines.
• Stay updated on academic research and industry trends in quantitative finance.

Skills

Python

R

C++

Time series analysis

Econometrics

Education

PhD in quantitative field

MS in quantitative field

Tools

Spark

Git

Job description

About the Role

Our client, a forward-thinking fintech company, is seeking a highly skilled Senior Quantitative Analyst to join their fully remote team. This role is critical in developing and implementing sophisticated quantitative models for trading strategies, risk management, and portfolio optimization. The successful candidate will leverage advanced mathematical and statistical techniques to derive actionable insights from large datasets, contributing directly to the company's innovative financial products and services. As a fully remote position, we are looking for a self-motivated and disciplined individual who can excel in a distributed work environment. This is an exciting opportunity to work with cutting-edge technology and make a significant impact on the financial industry from anywhere. The core operations of the team are managed remotely.

Key Responsibilities

• Design, develop, and backtest complex quantitative models for financial markets.
• Implement and deploy models into production environments using programming languages such as Python or R.
• Conduct rigorous statistical analysis of market data to identify patterns and opportunities.
• Develop and refine risk management frameworks and tools.
• Collaborate with portfolio managers and traders to enhance investment strategies.
• Analyze the performance of quantitative strategies and provide performance attribution.
• Research and evaluate new quantitative methodologies and technologies.
• Document model methodologies, assumptions, and limitations clearly.
• Contribute to the development of automated trading systems and data pipelines.
• Stay updated on academic research and industry trends in quantitative finance.

Requirements

• Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 5 years of experience in quantitative analysis, preferably within hedge funds, investment banks, or fintech firms.
• Advanced programming skills in Python, R, C++, or similar languages.
• Expertise in statistical modeling, machine learning, time series analysis, and econometrics.
• Strong understanding of financial markets, derivatives, and portfolio theory.
• Proven ability to work independently and manage projects effectively in a remote setting.
• Excellent problem-solving and analytical skills.
• Strong communication skills, with the ability to explain complex concepts to technical and non-technical audiences.
• Experience with large datasets and distributed computing frameworks (e.g., Spark) is a plus.
• Must have a dedicated home office setup conducive to remote work.

Benefits

• Our client offers a highly competitive salary and bonus structure commensurate with experience and performance.
• As a remote-first company, they provide flexibility and work-life balance.
• Benefits include comprehensive health insurance, generous retirement contributions, and performance-based incentives.
• Opportunities for professional growth, attending conferences, and access to advanced training are provided.
• The company fosters a collaborative online culture, even in a remote setting, encouraging knowledge sharing and innovation.