Key Responsibilities:-
- Analyze market data to identify patterns and trends.
- Develop and implement prediction algorithms based on data analysis.
- Conduct advanced feature engineering, synthesizing significant features to enhance our models.
- Ensure the robustness, resilience, and low latency of our models in live environments.
- Liaise closely with our technical team to ensure seamless model implementation.
- Stay on the pulse of market trends, technological advancements, and best practices to keep our models ahead of the curve.
Required Qualifications and Skills:
- Demonstrable experience in quantitative research and analysis.
- Mastery over Python and associated data analytics and machine learning toolkits.
- Experience with Rust programming language.
- A profound understanding of feature engineering and its pivotal role in model development.
- Experience with modeling techniques that incorporate a diverse array of data sources.
- Analytical, innovative, and technically adept, coupled with excellent communication skills.
- Master's Degree or above in Finance, Mathematics, Computer Science, or other quantitative domains.
- Preferably with familiarity in risk management practices within the trading sphere.