Quantitative Analyst (Quant)

Placements24; Johannesburg; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive compensation

Stock options or equity participation

Health and wellness benefits

Fully remote work with flexible hours

Professional development and attending

Job summary

Placements24 presents a fully remote Quantitative Analyst role with a pioneering fintech client. You will design, develop, and backtest advanced financial models, trading strategies, and risk management systems to drive investment decisions from your home office.

You will analyze large datasets, collaborate with traders and engineers, and continuously improve methodologies using machine learning, statistics, and numerical methods in a remote setup.

Qualifications

• Master's or PhD in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related field.
• 3+ years of experience as a Quantitative Analyst or in a similar quantitative role within finance.
• Strong programming skills in Python, C++, R, or Java.
• Proficiency in statistical analysis, machine learning techniques, and numerical methods.
• Solid understanding of financial markets, derivatives, and portfolio theory.
• Experience with large-scale data analysis and database management (e.g., SQL).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication skills, with the ability to explain complex quantitative concepts clearly.
• Self-motivated, detail-oriented, and able to work independently in a remote setting.

Responsibilities

• Develop, implement, and backtest quantitative trading strategies across various asset classes.
• Design and build sophisticated financial models for pricing, risk management, and portfolio optimization.
• Analyze large datasets to identify market patterns, trends, and predictive signals.
• Collaborate with traders, portfolio managers, and software engineers to deploy quantitative models and systems.
• Conduct research on new quantitative methodologies and financial instruments.
• Ensure the accuracy, robustness, and efficiency of quantitative models and associated code.
• Monitor the performance of trading strategies and models, making necessary adjustments.
• Develop tools and dashboards for risk monitoring and performance analysis.
• Stay abreast of the latest advancements in quantitative finance, machine learning, and data science.
• Document methodologies, algorithms, and results thoroughly.

Skills

Python

C++

R

Java

Machine learning

Statistical analysis

Education

Master's or PhD in Mathematics/Statistics/CS/Financial Engineering

Tools

SQL

Pandas

NumPy

Git

Scikit-learn

Job description

About the Role

Our client, a pioneering fintech company renowned for its innovative financial solutions, is seeking a highly skilled and motivated Quantitative Analyst (Quant) to join their esteemed team. This is a fully remote position, offering the flexibility to work from anywhere while contributing to cutting-edge financial modeling and algorithmic development. The successful candidate will leverage advanced mathematical and statistical techniques to design, develop, and implement complex financial models, trading strategies, and risk management systems. This role is ideal for a brilliant mind passionate about applying quantitative methods to solve challenging problems in the financial industry. Our client fosters a collaborative, results-driven, and intellectually stimulating environment where innovation is highly valued. We offer a unique opportunity to be at the forefront of financial technology from the comfort of your own home.

Key Responsibilities

• Develop, implement, and backtest quantitative trading strategies across various asset classes.


• Design and build sophisticated financial models for pricing, risk management, and portfolio optimization.


• Analyze large datasets to identify market patterns, trends, and predictive signals.


• Collaborate with traders, portfolio managers, and software engineers to deploy quantitative models and systems.


• Conduct research on new quantitative methodologies and financial instruments.


• Ensure the accuracy, robustness, and efficiency of quantitative models and associated code.


• Monitor the performance of trading strategies and models, making necessary adjustments.


• Develop tools and dashboards for risk monitoring and performance analysis.


• Stay abreast of the latest advancements in quantitative finance, machine learning, and data science.


• Document methodologies, algorithms, and results thoroughly.

Requirements

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related discipline.


• Proven experience (3+ years) as a Quantitative Analyst or in a similar quantitative role within finance.


• Strong programming skills in languages such as Python, C++, R, or Java.


• Proficiency in statistical analysis, machine learning techniques, and numerical methods.


• Solid understanding of financial markets, derivatives, and portfolio theory.


• Experience with large-scale data analysis and database management (e.g., SQL).


• Excellent analytical, problem-solving, and critical thinking skills.


• Strong communication skills, with the ability to explain complex quantitative concepts clearly.


• Self-motivated, detail-oriented, and able to work independently in a remote setting.


• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Benefits

• Highly competitive salary and bonus structure.


• Generous stock options or equity participation.


• Comprehensive health and wellness benefits package.


• Fully remote work arrangement with flexible hours.


• Significant opportunities for professional development and attending conferences.


• Access to state-of-the-art technology and tools.


• Collaborative and innovative work culture.


• Work on challenging and impactful quantitative finance problems from anywhere.