Remote Quantitative Analyst

Placements24; Gqeberha; Hybrid; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Bonuses

Remote work

Professional development

Tech resources

Job summary

Placements24 is seeking a Remote Quantitative Analyst to join its financial modeling team in South Africa. You will design and implement sophisticated models for trading, risk management, and asset valuation from a home office, collaborating with portfolio managers and traders globally.

This role demands strong skills in mathematics, statistics and programming (Python, C++, or R), experience with data manipulation and back-testing, and the ability to work independently in a fully remote

Qualifications

• PhD or MSc in Mathematics, Statistics, Physics, CS, or Financial Engineering.
• 4+ years in a quantitative finance role (Quant Analyst/Quant Trader).
• Strong programming in Python/C++/R with data manipulation and stats libraries.
• Deep knowledge of stochastic calculus, time series, econometrics.
• Experience with financial data sources and trading platforms.
• Excellent analytical and communication skills; comfortable working remotely.

Responsibilities

• Design, develop, test, and implement complex quantitative models for financial markets.
• Analyze large datasets to identify patterns, risks, and opportunities for trading and investment strategies.
• Collaborate with traders and portfolio managers to refine models and implement new strategies.
• Develop and maintain efficient algorithms and software tools for data analysis and model execution.
• Perform rigorous back-testing and validation of models to ensure accuracy and robustness.
• Stay abreast of the latest academic research and industry trends in quantitative finance.

Skills

Python

C++

R

Statistics

Time series

Econometrics

Education

PhD or master’s in quantitative field

Tools

SQL

Pandas

NumPy

SciPy

Git

Job description

About the Role

Our client is actively seeking a highly skilled and motivated Remote Quantitative Analyst to join their innovative financial modeling team. This is a fully remote position, offering the flexibility to work from anywhere within South Africa. You will be instrumental in developing and implementing sophisticated quantitative models for trading strategies, risk management, and asset valuation. This role requires a deep understanding of mathematics, statistics, and programming, applied to complex financial markets. You will collaborate with portfolio managers and traders globally, contributing cutting-edge analytical solutions from your home office, fostering a results-driven culture that values intellectual curiosity and data-driven decision-making.

Key Responsibilities

• Design, develop, test, and implement complex quantitative models for financial markets.
• Analyze large datasets to identify patterns, risks, and opportunities for trading and investment strategies.
• Collaborate with traders and portfolio managers to refine models and implement new strategies.
• Develop and maintain efficient algorithms and software tools for data analysis and model execution.
• Perform rigorous back-testing and validation of models to ensure accuracy and robustness.
• Stay abreast of the latest academic research and industry trends in quantitative finance.

Requirements

• PhD or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Proven experience (4+ years) as a Quantitative Analyst, Quant Trader, or in a similar quantitative role within the finance industry.
• Strong programming skills in languages like Python, C++, or R, with experience in data manipulation and statistical libraries.
• Deep understanding of financial mathematics, stochastic calculus, time series analysis, and econometrics.
• Experience with financial data sources and trading platforms.
• Excellent analytical, problem-solving, and communication skills, comfortable working independently in a remote environment.

Benefits

• Highly competitive salary and performance-based bonuses, reflecting the specialized nature of the role.
• Flexible working hours and a completely remote work setup.
• Access to cutting-edge technology and research resources.
• Opportunities for continuous learning and professional development in advanced quantitative techniques.
• Contribution to a globally distributed, high-performing team focused on innovation in financial markets.