Senior Quantitative Analyst - Remote

Placements24; Cape Town; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive annual salary

Medical and wellness benefits

Generous vacation policy

Remote work infrastructure support

Professional growth opportunities

Access to HPC resources

Performance-based bonuses

Job summary

Placements24 is hiring a Senior Quantitative Analyst for a remote-first analytics team based in Cape Town. You will design and implement advanced models for pricing, risk, and trading strategies, leveraging Python, C++, and R.

You will conduct rigorous statistical analyses on large datasets, collaborate with traders and portfolio managers, and mentor junior analysts as the team pushes forward in quantitative finance and data science.

Qualifications

• Master's or PhD in a quantitative field is required.
• Minimum 5 years of experience in quantitative analysis within finance.
• Strong programming skills in Python, C++, or R.
• Expertise in statistical modeling, ML, time series, and optimization.

Responsibilities

• Design, develop, test, and implement quantitative models for pricing, risk, and trading strategies.
• Perform rigorous statistical analysis and data mining on large datasets.
• Collaborate with portfolio managers, traders and other analysts to refine models.
• Research new quantitative methodologies and technologies.
• Validate models and monitor performance for improvements.
• Develop efficient code for model implementation and back-testing using Python, R, or C++.
• Communicate complex quantitative concepts to technical and non-technical audiences.
• Stay updated on trends in quantitative finance and data science.
• Mentor junior analysts and contribute to team knowledge base.

Skills

Quantitative analysis

Statistical modeling

Machine learning

Time series analysis

Optimization techniques

Python

C++

R

Data analysis

Communication skills

Independent work

Education

Master's or Ph.D. in Mathematics, Statistics, Physics, CS, or Financial Engineering

Tools

Pandas

NumPy

SciPy

scikit-learn

Job description

About the Role Our client is looking for a highly skilled Senior Quantitative Analyst to join their innovative and fully remote financial analytics team based in **Cape Town**. This role is critical for developing and implementing sophisticated quantitative models used in trading strategies, risk management, and pricing. You will be at the forefront of applying advanced mathematical and statistical techniques to complex financial problems. The ideal candidate possesses a strong academic background, exceptional programming skills, and a deep understanding of financial markets. This is a unique opportunity to work in a collaborative, remote-first environment with a team dedicated to pushing the boundaries of quantitative finance.

Key Responsibilities

• Design, develop, test, and implement quantitative models for financial markets, including pricing, risk, and trading strategies.
• Perform rigorous statistical analysis and data mining on large datasets to identify patterns and opportunities.
• Collaborate with portfolio managers, traders, and other quantitative analysts to refine models and implement new strategies.
• Conduct thorough research into new quantitative methodologies and technologies.
• Validate existing models and provide ongoing performance monitoring and enhancements.
• Develop efficient code for model implementation and back-testing using languages like Python, R, or C++.
• Communicate complex quantitative concepts and findings clearly to both technical and non-technical audiences.
• Stay abreast of the latest trends and advancements in quantitative finance and data science.
• Contribute to the team's knowledge base and mentor junior analysts.

Requirements

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 5 years of experience in a quantitative analysis role within the financial industry.
• Strong proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R).
• Expertise in statistical modeling, machine learning, time series analysis, and optimization techniques.
• Deep understanding of financial markets, instruments, and derivatives.
• Experience with data analysis tools and libraries (e.g., Pandas, NumPy, SciPy, scikit-learn).
• Excellent analytical and problem-solving skills, with a meticulous attention to detail.
• Strong communication and interpersonal skills, comfortable working in a remote team setting.
• Ability to work independently, manage projects, and meet tight deadlines.
• Familiarity with large-scale data processing and database technologies is a plus.

Benefits

• Competitive annual salary of R.
• Comprehensive medical and wellness benefits.
• Generous vacation policy and paid leave.
• Remote work infrastructure support and allowance.
• Opportunities for professional growth and attending industry conferences.
• Access to high-performance computing resources.
• Stimulating work environment focused on innovation and research.
• Collaborative and supportive remote team culture.
• Potential for performance-based bonuses.