Remote Quantitative Analyst (FinTech)

Placements24; Johannesburg; Hybrid; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid time off

Remote-friendly

Job summary

Placements24 in Johannesburg is seeking a Remote Quantitative Analyst to design and implement models for pricing, risk, and trading across asset classes. You will work with a global team to translate complex analytics into actionable business insights.

The ideal candidate has a Master’s/PhD and 5+ years in quantitative analysis, with strong Python/C++/R skills, time-series analytics, and cloud experience. This fully remote role offers a competitive package within a leading FinTech environment.

Qualifications

• Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
• 5+ years of experience in quantitative analysis, financial modeling, or algorithmic trading, preferably within FinTech or investment banking.
• Strong programming skills in Python, C++, R, or Java, with expertise in relevant libraries.

Responsibilities

• Design, develop, and implement quantitative models for pricing, risk management, and trading strategies across various asset classes.
• Perform rigorous statistical analysis and back-testing of trading algorithms using historical and real-time market data.
• Collaborate with software engineers to integrate quantitative models into production trading systems and platforms.
• Identify and exploit market inefficiencies through data-driven research and analysis.
• Contribute to the research and development of new quantitative methodologies and financial products.
• Monitor and assess the performance of implemented models, making necessary adjustments and improvements.
• Communicate complex quantitative concepts and results clearly to both technical and non-technical stakeholders.
• Stay current with academic research and industry developments in quantitative finance and machine learning.

Skills

Quantitative analysis

Financial modeling

Algorithmic trading

Python

C++

R

Time series analysis

Education

Master's/PhD in a quantitative field

Tools

NumPy

SciPy

Pandas

SQL

Job description

About the Role

Our client, a disruptive force in the FinTech industry, is actively seeking a highly analytical and innovative Remote Quantitative Analyst to join their world-class team. This role is pivotal in developing and implementing sophisticated financial models, algorithms, and trading strategies that drive our cutting-edge products and services. You will leverage advanced mathematical, statistical, and programming skills to analyze vast datasets, identify market trends, and create predictive models for risk management, portfolio optimization, and algorithmic trading. As a remote employee, you will collaborate with a global team of quants, engineers, and data scientists, contributing to the strategic direction of our financial technology solutions from anywhere in the world. The ideal candidate possesses a deep understanding of financial markets, a passion for quantitative research, and a proven ability to translate complex analytical findings into actionable business insights. We are committed to fostering a collaborative and intellectually stimulating remote work environment where innovation thrives. This position is essential for maintaining our competitive edge in the rapidly evolving FinTech landscape.

Key Responsibilities

• Design, develop, and implement quantitative models for pricing, risk management, and trading strategies across various asset classes.
• Perform rigorous statistical analysis and back-testing of trading algorithms using historical and real-time market data.
• Collaborate with software engineers to integrate quantitative models into production trading systems and platforms.
• Identify and exploit market inefficiencies through data-driven research and analysis.
• Contribute to the research and development of new quantitative methodologies and financial products.
• Monitor and assess the performance of implemented models, making necessary adjustments and improvements.
• Communicate complex quantitative concepts and results clearly to both technical and non-technical stakeholders.
• Stay current with academic research and industry developments in quantitative finance and machine learning.
• Ensure compliance with relevant financial regulations and internal risk policies.

Requirements

• Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
• 5+ years of experience in quantitative analysis, financial modeling, or algorithmic trading, preferably within FinTech or investment banking.
• Strong programming skills in languages such as Python, C++, R, or Java, with expertise in relevant libraries (e.g., NumPy, SciPy, Pandas).
• Proficiency in statistical modeling, machine learning techniques, and time series analysis.
• Deep understanding of financial markets, derivatives, and portfolio theory.
• Experience with large-scale data analysis and database technologies.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to work effectively in a remote, international team.
• Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.

Benefits

This fully remote position offers unparalleled flexibility and the opportunity to work on groundbreaking FinTech innovations from anywhere. Our client provides an exceptional compensation package, including a highly competitive base salary, performance-based bonuses, and comprehensive benefits such as health, dental, and vision insurance, generous paid time off, and retirement planning assistance. You will join a dynamic, intellectually challenging, and highly rewarding work environment. This role is instrumental in shaping our financial product development, impacting our strategic goals for operations related to Johannesburg, Gauteng and beyond. We offer continuous learning opportunities and career advancement within a leading FinTech organization.