Senior Quantitative Analyst

Placements24; United States; Remote; USD 73,000 - 109,000; Full time

Benefits offered by this job

Health insurance

Bonuses

Professional development

Fully remote work

Flexible hours

Remote-first culture

Pension plan

Job summary

Placements24 is seeking a Senior Quantitative Analyst for a fully remote role in South Africa. You will develop and validate complex models for pricing, risk, and portfolio optimization, and collaborate with trading and risk teams to deliver data-driven insights.

The ideal candidate has a strong background in statistical modeling, time series, and machine learning, with 5+ years of experience in financial services and advanced programming skills in Python, R, C++, Java, and SQL.

Qualifications

• Master's or PhD in a quantitative field as listed.
• Minimum 5 years of experience in quantitative analysis in financial services.
• Proficiency in Python, R, C++, Java.
• Strong knowledge of derivatives, markets microstructure.
• Experience with statistical modeling, time series, econometrics.
• Excellent communication and ability to explain complex concepts.

Responsibilities

• Develop, validate, and implement complex quantitative models for pricing, risk management, and portfolio optimization.
• Conduct in-depth statistical analysis and data mining to identify trends and actionable insights.
• Collaborate with trading desks, PMs, and risk teams to deliver data-driven solutions.
• Perform back-testing and stress-testing of models for robustness.
• Generate reports and presentations on model performance for senior management.
• Stay updated on industry trends, research, and regulatory changes in quantitative finance.
• Mentor junior analysts and share knowledge within the team.

Skills

Python

R

C++

Java

SQL

Machine Learning

Statistical Modeling

Time Series

Communication

Education

Master's or PhD in quantitative field

Tools

Git

SQL Server

Pandas

NumPy

Job description

About the Role

Our client, a leading financial services provider, is seeking a highly skilled and motivated Senior Quantitative Analyst to join their dynamic and expanding team. This is a fully remote, permanent position offering the flexibility to work from anywhere within South Africa. The ideal candidate will possess a strong analytical mindset, exceptional problem-solving abilities, and a deep understanding of financial markets and statistical modeling. You will play a crucial role in developing and implementing sophisticated quantitative models that drive business decisions, manage risk, and optimize investment strategies. This role offers an unparalleled opportunity to contribute to the firm's success while benefiting from a flexible work environment and continuous professional development. We are committed to fostering a collaborative and innovative remote-first culture where your contributions are valued and recognized.

Key Responsibilities

• Develop, validate, and implement complex quantitative models for pricing, risk management, and portfolio optimization.


• Conduct in-depth statistical analysis and data mining to identify trends, patterns, and actionable insights.


• Collaborate with trading desks, portfolio managers, and risk management teams to understand their needs and provide data-driven solutions.


• Perform back-testing and stress-testing of models to ensure robustness and accuracy.


• Generate clear and concise reports and presentations on model performance and findings for senior management.


• Stay abreast of the latest industry trends, academic research, and regulatory changes impacting quantitative finance.


• Mentor junior analysts and contribute to the overall knowledge sharing within the team.


• Ensure compliance with internal policies and external regulations.

Requirements

• Master's or PhD degree in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.


• Minimum of 5 years of experience in quantitative analysis within the financial services industry.


• Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or Java.


• Strong knowledge of financial instruments, derivatives, and market microstructure.


• Proven experience with statistical modeling, time series analysis, and econometrics.


• Excellent communication and interpersonal skills, with the ability to explain complex concepts to non-technical audiences.


• Demonstrated ability to work independently and manage multiple projects in a remote setting.


• Familiarity with SQL and database management.


• Experience with machine learning techniques is a plus.

Benefits

• Competitive annual salary of R.


• Comprehensive health insurance coverage.


• Generous performance-based bonuses.


• Opportunities for professional development and certifications.


• Flexible working hours and a fully remote work environment.


• Access to cutting-edge technology and analytical tools.


• A collaborative and supportive remote team culture.


• Pension fund contribution.