Remote Quantitative Analyst - Risk Management

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Highly competitive remote salary

Stock options and long-term incentives

Comprehensive health insurance

Professional development allowances

Remote work autonomy

Job summary

Placements24 is seeking a highly skilled Remote Quantitative Analyst to focus on Risk Management. You will develop and implement risk models, analyze market/credit/operational risk across assets, and build dashboards for monitoring in a fully remote setting.

The role requires 5+ years in quantitative risk, strong Python or R skills, SQL proficiency, and deep knowledge of econometrics and time-series analysis.

Qualifications

• Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
• Minimum of 5 years of experience in quantitative risk management, preferably within investment banking or asset management.
• Strong programming skills in Python or R, and experience with libraries for data analysis and modeling (e.g., NumPy, SciPy, Pandas, Statsmodels).
• Proficiency in SQL and experience with large datasets.
• Solid understanding of financial markets, derivatives, and various asset classes.
• Expertise in statistical modeling, econometrics, time series analysis, and machine learning techniques.

Responsibilities

• Develop, validate, and implement quantitative models for market risk, credit risk, and operational risk assessment.
• Analyze large datasets to identify risk exposures and patterns across portfolios and trading strategies.
• Design and implement risk metrics and key risk indicators (KRIs).
• Develop stress testing and scenario analysis frameworks.
• Collaborate with portfolio managers and traders to understand risk profiles and hedging strategies.
• Automate risk reporting processes and develop interactive dashboards for risk monitoring.
• Stay abreast of regulatory requirements (e.g., Basel accords) and ensure model compliance.
• Contribute to the firm's overall risk management framework and policies.

Skills

Python

R

SQL

Econometrics

Time series analysis

Machine learning

Statistical modeling

Education

Master's or Ph.D. in Finance/Math/Statistics/Physics/CS

Tools

NumPy

SciPy

Pandas

Statsmodels

Job description

About the Role

Our client, a pioneering quantitative trading firm, is seeking a highly skilled Remote Quantitative Analyst to focus on Risk Management. This role is fully remote, allowing you to contribute your expertise from anywhere. You will be responsible for developing and implementing sophisticated risk models, analyzing market risk, credit risk, and operational risk across various asset classes. The ideal candidate possesses a strong background in econometrics, statistical modeling, and programming, with a deep understanding of financial markets and regulatory frameworks. Join an elite team that leverages cutting-edge technology and quantitative methods to manage risk effectively in the dynamic **Banking & Finance** landscape. This is an opportunity to shape risk strategies in a globally competitive market while enjoying the benefits of remote work.

Key Responsibilities

• Develop, validate, and implement quantitative models for market risk, credit risk, and operational risk assessment.
• Analyze large datasets to identify risk exposures and patterns across different portfolios and trading strategies.
• Design and implement risk metrics and key risk indicators (KRIs).
• Develop stress testing and scenario analysis frameworks.
• Collaborate with portfolio managers and traders to understand risk profiles and implement hedging strategies.
• Automate risk reporting processes and develop interactive dashboards for risk monitoring.
• Stay abreast of regulatory requirements (e.g., Basel accords) and ensure model compliance.
• Conduct research on new methodologies and technologies to enhance risk management capabilities.
• Communicate complex risk concepts and model outputs to stakeholders, including senior management.
• Contribute to the firm's overall risk management framework and policies.

Requirements

• Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
• Minimum of 5 years of experience in quantitative risk management, preferably within investment banking or asset management.
• Strong programming skills in Python or R, and experience with libraries for data analysis and modeling (e.g., NumPy, SciPy, Pandas, Statsmodels).
• Proficiency in SQL and experience with large datasets.
• Solid understanding of financial markets, derivatives, and various asset classes.
• Expertise in statistical modeling, econometrics, time series analysis, and machine learning techniques.
• Experience with risk management software and platforms is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, capable of conveying complex information clearly.
• Ability to work independently, manage priorities, and deliver high-quality results in a remote setting.

Benefits

• Highly competitive remote salary and performance-based bonuses.
• Significant stock options and long-term incentives.
• Comprehensive health, dental, and vision insurance.
• Generous professional development allowance for conferences and training.
• Opportunity to work on challenging and impactful risk management problems.
• Flexible working hours and complete remote work autonomy.
• Access to state-of-the-art analytical tools and technology.
• Collaborative and intellectually stimulating work environment.
• Contribution to a leading firm in quantitative finance.
• Regular virtual team-building activities and engagement.