Quantitative Researcher at Zonff Partners

Job Description

Key Responsibilities

• Conduct comprehensive data mining, processing, and statistical analysis to uncover actionable insights from large datasets. This includes designing data collection frameworks, performing data cleaning, and applying advanced analytical techniques to identify trends and correlations.
• Develop and implement machine learning algorithms and statistical models to analyze market behavior, assess risk factors, and generate predictive signals. You will be responsible for validating model assumptions and ensuring their robustness under varying market conditions.
• Perform rigorous backtesting of quantitative strategies using historical data to evaluate performance metrics such as Sharpe ratio, drawdown, and risk-adjusted returns. This involves iterative parameter tuning to optimize strategy outcomes and enhance profitability.
• Collaborate with quantitative analysts and traders to translate research findings into executable trading strategies. You will also be tasked with maintaining data quality standards by monitoring data sources, resolving inconsistencies, and ensuring data integrity throughout the analysis lifecycle.
• Document analytical processes, model results, and strategy recommendations in a clear and concise manner. This includes preparing technical reports, presenting findings to stakeholders, and maintaining version control for all analytical deliverables.

Job Requirements

• Master's or Ph.D. in Mathematics, Statistics, Financial Engineering, Economics, or a related quantitative field with a proven track record in academic research or industry applications.
• Proficiency in programming languages such as Python, R, and SQL, with experience in data manipulation, visualization, and statistical modeling frameworks like Pandas, Scikit-learn, or TensorFlow.
• Strong analytical skills with expertise in quantitative finance, including knowledge of portfolio theory, risk management, and algorithmic trading concepts. Familiarity with financial markets and instruments is essential.
• Excellent problem-solving abilities and attention to detail, with the capacity to handle complex data sets and derive meaningful conclusions. Demonstrated success in developing and optimizing quantitative models is required.
• Ability to work independently and collaboratively in a fast-paced environment, with strong communication skills to convey technical findings to non-technical stakeholders. Experience in team-based projects is preferred.
• Proficiency in using quantitative analysis tools and platforms such as Bloomberg Terminal, MATLAB, or Excel for data processing and model development. Familiarity with cloud computing environments like AWS or Google Cloud is advantageous.
• Strong understanding of financial regulations and compliance requirements, with the ability to ensure that all analytical work adheres to ethical and legal standards. Experience in regulatory environments is a plus.
• Excellent time management skills and the ability to prioritize tasks effectively, with a commitment to meeting deadlines and delivering high-quality work. Demonstrated ability to handle multiple projects simultaneously is preferred.
• Proficiency in English for clear communication and documentation, with the ability to present findings in both written and verbal formats. Bilingual capabilities in Chinese are preferred for local market analysis.
• Experience in quantitative research roles within financial institutions, hedge funds, or fintech companies is highly desirable. A portfolio of published research or proprietary models is a significant advantage.