Senior Quantitative Analyst (Quant)

Placements24; Mtubatuba Local Municipality; Hybride; ZAR 1 200 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Competitive base salary

Performance bonuses

Equity participation

Full medical coverage

Retirement contributions

Relocation assistance

Learning & conference support

Remote-friendly environment

Résumé du poste

Placements24 is seeking a Senior Quantitative Analyst to join a leading hedge fund's trading strategies team. The role is based in Richards Bay with a fully remote arrangement, enabling contribution from anywhere while collaborating with a global team.

The ideal candidate holds a PhD or Master’s in a quantitative field and has a proven track record in developing, backtesting, and implementing complex trading algorithms and risk models using large datasets.

Qualifications

• PhD or Master's in Mathematics, Physics, CS, Statistics, Financial Engineering or related field.
• Minimum of 6 years in quantitative finance, algo trading or similar role.
• Strong programming skills in Python, C++, or Java with libraries like NumPy/Pandas/SciPy.
• Proficiency in statistical modeling, time series analysis, ML and econometrics.
• Experience with financial market data and trading platforms.
• Ability to backtest complex trading strategies and develop risk models.
• Excellent problem-solving and analytical mindset.
• Strong communication skills and ability to work remotely.

Responsabilités

• Design, develop, and implement quantitative trading strategies across asset classes.
• Backtest and statistically analyze trading models for performance and risk.
• Build and maintain high-frequency trading systems and infra.
• Analyze large financial datasets to identify market inefficiencies and opportunities.
• Collaborate with portfolio managers and traders to refine strategies.
• Develop and implement risk management frameworks for portfolios.
• Stay current with academic research and industry developments.
• Optimize algorithms for performance, latency, and scalability.
• Document methodologies and research findings.
• Contribute to the firm's quantitative advancement.

Connaissances

Statistical modeling

Time series analysis

Machine learning

Econometrics

Problem solving

Communication

Formation

PhD or Master's in quantitative field

Outils

Python

C++

Java

NumPy

Pandas

SciPy

Description du poste

About the Role

Our client, a leading quantitative hedge fund, is seeking an exceptional Senior Quantitative Analyst (Quant) to join their innovative trading strategies team. This role is based in the vibrant coastal city of Richards Bay, KwaZulu-Natal , and offers a fully Remote work arrangement, allowing top talent to contribute from anywhere. The ideal candidate will possess a PhD or Master's degree in a quantitative field and have a proven track record in developing, implementing, and backtesting complex trading algorithms and risk models. You will work with cutting-edge technology and large datasets to derive alpha and optimize portfolio performance. This is a unique opportunity to be at the forefront of quantitative finance in a challenging and intellectually stimulating environment. The company prides itself on a culture of collaboration and innovation, even within a remote setting.

Key Responsibilities

• Design, develop, and implement sophisticated quantitative trading strategies across various asset classes.
• Conduct rigorous backtesting and statistical analysis of trading models to assess performance and risk.
• Build and maintain high-frequency trading systems and infrastructure.
• Analyze large-scale financial datasets to identify market inefficiencies and trading opportunities.
• Collaborate with portfolio managers and traders to refine strategies and execute trades.
• Develop and implement risk management frameworks and tools for trading portfolios.
• Stay current with academic research and industry developments in quantitative finance.
• Optimize trading algorithms for performance, latency, and scalability.
• Document methodologies, strategies, and research findings thoroughly.
• Contribute to the overall technological and quantitative advancement of the firm.

Requirements

• PhD or Master's degree in Mathematics, Physics, Computer Science, Statistics, Financial Engineering, or a related quantitative discipline.
• Minimum of 6 years of experience in quantitative finance, algorithmic trading, or a similar quantitative role.
• Strong programming skills in languages such as Python, C++, or Java, with experience in relevant libraries (e.g., NumPy, Pandas, SciPy).
• Proficiency in statistical modeling, time series analysis, machine learning, and econometrics.
• Experience with financial market data and trading platforms.
• Demonstrated ability to develop and backtest complex trading strategies.
• Excellent problem-solving skills and a rigorous, analytical mindset.
• Strong communication skills to effectively articulate complex quantitative concepts.
• Ability to work independently and manage multiple projects in a remote setting.
• Prior experience in hedge funds or proprietary trading firms is a significant advantage, particularly within the KwaZulu-Natal financial context.

Benefits

• Our client offers an exceptionally competitive compensation package, including a high base salary, significant performance bonuses, and potential for equity participation.
• Full medical coverage, generous retirement contributions, and potential for relocation assistance if desired are standard.
• We provide ample opportunities for professional growth through continuous learning, research support, and attendance at leading quantitative finance conferences globally.
• This role offers the unique advantage of a completely Remote working environment, allowing for flexibility and work-life balance.
• Join a world-class team and contribute to cutting-edge quantitative research from Richards Bay or anywhere else.