Summary

We are looking for a Quantitative Engineer to develop and implement advanced quantitative models that drive investment and trading strategies across multi-asset financial markets. This role focuses on applying data-driven methodologies, including machine learning, statistical modeling, and algorithmic trading, to optimize portfolio management, risk assessment, and market forecasting. The ideal candidate possesses strong programming skills, a deep understanding of financial markets, and expertise in quantitative research, enabling them to design innovative solutions for complex investment challenges.

Job Responsibilities

Develop quantitative algorithms for portfolio optimization, risk mitigation, and financial modeling.
Utilize computing techniques such as machine learning and Monte Carlo simulations to enhance market forecasting and trading strategies.
Research and design algorithms to improve asset allocation, liquidity management, and financial risk strategies.
Collaborate with investment analysts, data scientists, and financial strategists to integrate solutions into investment platforms while ensuring regulatory compliance.
Apply quantitative methodologies to enhance risk management strategies for equities, commodities, and cryptocurrency markets.

Requirements

Hold a Bachelor’s or Master’s degree in Financial Engineering, Computer Science, or Mathematics.
Possess strong knowledge of financial markets, investment strategies, and risk management.
Have experience in data acquisition, quantitative modeling, and application development in a research or financial environment.
Be well-versed in at least one asset class, such as equity, fixed income, or high-yield bonds, with a track record in financial research and software development.
Have familiarity with quantitative analytics, including fund performance measurement, predictive risk modeling, and alpha research.
Possess strong analytical skills to process large datasets, detect anomalies, and develop innovative financial solutions.
Have expertise in logical data modeling and relational database design for financial applications.

Benefits

Supportive teammates
Health insurance benefits
Self development activities that support careers
Hybrid working arrangement