Senior Quantitative Analyst

Placements24; KwaZulu-Natal; Remote; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision insurance

Generous PTO and holidays

Retirement savings plan with company

Professional development opportunities

State-of-the-art remote work tools

Performance-based bonuses

Job summary

Placements24 seeks a Senior Quantitative Analyst for a fully remote role, though based in Pietermaritzburg, KwaZulu-Natal. You will build and validate pricing, risk, and trading models, analyze market data, and deliver insights to senior stakeholders from a home office.

The ideal candidate has 5+ years in quantitative finance, strong programming in Python/R/C++, and expertise in econometrics and ML. Remote-friendly with cross-functional collaboration and continuous learning.

Qualifications

• Master's degree or PhD in a quantitative field such as Financial Engineering, Statistics, Mathematics, Physics, or Computer Science.
• Proven experience (minimum 5 years) in quantitative analysis within the financial services industry.
• Strong programming skills in Python, R, C++, or similar languages.
• Proficiency in statistical modeling, time series analysis, econometrics, and machine learning techniques.

Responsibilities

• Develop, validate, and implement complex quantitative models for pricing, risk management, and trading strategies.
• Conduct in-depth statistical analysis of financial market data to identify trends and opportunities.
• Design and build robust data pipelines and analytical tools using programming languages such as Python or R.
• Collaborate with traders, portfolio managers, and risk officers to understand their analytical needs and provide data-driven insights.
• Prepare detailed reports and presentations summarizing model performance, research findings, and recommendations for senior management.
• Maintain and enhance existing quantitative models, ensuring accuracy, efficiency, and compliance with regulatory standards.
• Stay abreast of the latest advancements in quantitative finance, machine learning, and data science techniques.
• Contribute to the development and mentoring of junior quantitative analysts within the remote team.

Skills

Statistical modeling

Time series analysis

Econometrics

Machine learning techniques

Education

Master's degree or PhD in a quantitative field

Tools

Python

R

C++

SQL

Job description

About the Role

Our client, a leading financial institution, is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their dynamic, fully remote team. This role is pivotal in driving our firm's strategic financial decisions through sophisticated modeling and data analysis. You will have the opportunity to work on challenging projects that impact the core of our business, collaborating with cross-functional teams from the comfort of your home office. We are committed to fostering a supportive and growth-oriented remote work environment, offering cutting-edge tools and resources to ensure your success. The ideal candidate will possess a deep understanding of financial markets, statistical modeling, and programming, coupled with an excellent ability to communicate complex findings to diverse audiences. This is an exceptional opportunity to advance your career in a globally recognized company while maintaining flexibility. The role is based in Pietermaritzburg, KwaZulu-Natal, ZA , but is executed entirely remotely, allowing for a broad talent pool. We value innovation, collaboration, and continuous learning within our remote structure.

Key Responsibilities

• Develop, validate, and implement complex quantitative models for pricing, risk management, and trading strategies.
• Conduct in-depth statistical analysis of financial market data to identify trends and opportunities.
• Design and build robust data pipelines and analytical tools using programming languages such as Python or R.
• Collaborate with traders, portfolio managers, and risk officers to understand their analytical needs and provide data-driven insights.
• Prepare detailed reports and presentations summarizing model performance, research findings, and recommendations for senior management.
• Maintain and enhance existing quantitative models, ensuring accuracy, efficiency, and compliance with regulatory standards.
• Stay abreast of the latest advancements in quantitative finance, machine learning, and data science techniques.
• Contribute to the development and mentoring of junior quantitative analysts within the remote team.

Requirements

• Master's degree or Ph.D. in a quantitative field such as Financial Engineering, Statistics, Mathematics, Physics, or Computer Science.
• Proven experience (minimum 5 years) in quantitative analysis within the financial services industry.
• Strong programming skills in Python, R, C++, or similar languages.
• Proficiency in statistical modeling, time series analysis, econometrics, and machine learning techniques.
• Excellent understanding of financial instruments, derivatives, and market risk.
• Experience with database technologies and data manipulation (SQL, etc.).
• Exceptional analytical and problem-solving abilities with a keen attention to detail.
• Strong verbal and written communication skills, with the ability to explain complex concepts clearly and concisely to both technical and non-technical audiences.
• Demonstrated ability to work independently and collaboratively in a remote setting.

Benefits

• Competitive annual salary.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Retirement savings plan with company match.
• Professional development opportunities and continuous learning support.
• Access to state-of-the‑art remote work technology and resources.
• Performance‑based bonuses.
• A truly remote‑first work environment fostering work‑life balance.