Remote Lead Quantitative Analyst – Finance & ML

Placements24; Durban; Hybrid; ZAR 1,500,000 - 2,300,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Health, dental, vision insurance

Home office setup allowance

Flexible remote hours

Distributed team collaboration

Job summary

Placements24 is seeking a highly skilled Remote Lead Quantitative Analyst to lead the quantitative strategies team. This fully remote role focuses on designing and implementing advanced models for pricing, risk, and trading strategies.

You will mentor analysts, collaborate with cross-functional teams, stay current with research, and document methodologies. The ideal candidate holds an advanced degree, 7+ years in quant analytics, and proficiency in Python, R, C++, Java, and ML libraries.

Qualifications

• Advanced degree in mathematics, statistics, physics, CS or financial engineering.
• 7+ years in quantitative analysis in financial services with 2+ in leadership.
• Proficiency in Python, R, C++, Java and ML libraries.
• Deep knowledge of stochastic calculus, time series, statistical modeling and risk management.
• Experience deploying sophisticated financial models in production.

Responsibilities

• Lead design, development, validation, and implementation of complex models for pricing, risk and trading.
• Mentor and manage a team of quantitative analysts.
• Collaborate with business units to translate needs into quantitative solutions.
• Stay current with academic research and industry best practices in quantitative finance.
• Develop and maintain documentation for models and methodologies.
• Contribute to strategic direction of the quantitative research function.

Skills

Leadership

Communication

Mentoring/People management

Education

Master's or Ph.D. in a quantitative field

Tools

Python

R

C++

Java

Machine Learning libraries

Job description

Placements24 is seeking a highly skilled Remote Lead Quantitative Analyst to lead the quantitative strategies team. This fully remote role focuses on designing and implementing advanced models for pricing, risk, and trading strategies.

You will mentor analysts, collaborate with cross-functional teams, stay current with research, and document methodologies. The ideal candidate holds an advanced degree, 7+ years in quant analytics, and proficiency in Python, R, C++, Java, and ML libraries.