Surbhi Finsec is a dynamic and innovative trading desk firm focused on leveraging quantitative strategies to capitalize on opportunities in financial markets. We pride ourselves on our cutting-edge technology, sophisticated algorithms, and a collaborative team environment that fosters creativity and excellence. As part of our expansion, we are seeking a talented and motivated Quantitative Analyst to join our team.

• Develop and implement quantitative trading strategies across various asset classes, including equities, futures and options.
• Conduct research and analysis to identify alpha-generating opportunities using statistical modelling, machine learning techniques, and mathematical algorithms.
• Develop, test, and back-test quantitative trading models using Python, R, or other programming languages.
• Collaborate with traders and developers to optimize trading systems and algorithms for execution efficiency and risk management.
• Monitor and evaluate the performance of trading strategies, making adjustments as necessary to enhance profitability and minimize risk.
• Stay abreast of market trends, industry developments, and emerging technologies to maintain a competitive edge in quantitative trading.

• Strong quantitative skills with proficiency in statistical modelling, machine learning, and optimization techniques.
• Experience with programming languages such as Python, R, or similar.
• Experience with statistical modelling, time series analysis, optimization techniques, and machine learning algorithms.
• Proven ability to work independently and as part of a team.
• Excellent communication and presentation skills.
• Strong understanding of financial markets and products.
• A passion for quantitative finance and a desire to apply technical skills to solve real-world problems.

In addition to a competitive salary, candidates will earn performance-based bonuses and incentives tied to the return on investment (ROI) of managed funds. This aligns with our commitment to rewarding excellence and fostering a results-driven culture.