Quantitative Rates Researcher

Role: Quantitative Rates Researcher
Job Type: Contract
Work Mode: Fully Remote
Compensation: $80–$150 per hour
About the Opportunity
We are seeking experienced Quantitative Rates Researchers to contribute to a specialized project focused on evaluating quantitative research and algorithmic trading strategies in fixed-income and interest-rate markets.
In this role, you will assess AI-generated quantitative research, validate trading methodologies, identify statistical and implementation issues, and provide expert feedback to improve the quality and reliability of AI-driven research systems.
Prior AI experience is not required. Strong expertise in quantitative finance, systematic trading, and rates markets is essential.
Key Responsibilities
• Review and evaluate AI-generated quantitative research and trading strategy outputs focused on fixed-income and interest-rate markets.
• Identify and document methodological issues, including lookahead bias, overfitting, data snooping, and unrealistic transaction cost assumptions.
• Evaluate systematic strategy backtesting frameworks, including rates-specific mechanics such as carry, roll-down, and contract roll conventions.
• Assess the statistical rigor of signal construction, factor modeling, alpha research, and strategy validation.
• Review yield curve modeling, relative value trading approaches, and interest-rate trading methodologies.
• Evaluate the accuracy and reliability of quantitative models under realistic market conditions.
• Assess transaction costs, liquidity constraints, and other practical considerations affecting strategy performance.
• Provide detailed written feedback on model assumptions, implementation accuracy, research methodology, and overall strategy soundness.
• Collaborate with project coordinators to clarify findings, communicate recommendations, and resolve methodological questions.
• Contribute to improving research evaluation processes, analytical standards, and quality assurance.
Required Qualifications
• Strong background in quantitative research, quantitative analysis, or quantitative consulting within fixed-income or interest-rate markets.
• Demonstrated experience developing, evaluating, or backtesting systematic rates trading strategies.
• Advanced proficiency in Python or R for quantitative research and data analysis.
• Proficiency with Python libraries such as pandas, NumPy, and SciPy.
• Strong understanding of fixed-income analysis, rates markets, and yield curve modeling.
• Knowledge of carry/roll-down analytics, relative value trading, and systematic strategy research.
• Familiarity with SOFR and Eurodollar instruments, as well as U.S. Treasury futures.
• Strong understanding of statistical validation, factor modeling, and alpha research.
• Ability to identify methodological weaknesses, including lookahead bias, overfitting, and data snooping.
• Understanding of transaction cost analysis, liquidity assessment, and realistic backtesting assumptions.
• Excellent written and verbal communication skills.
• Exceptional attention to detail and strong analytical problem-solving abilities.
Preferred Experience
Experience in one or more of the following environments is highly desirable:
• Hedge funds
• Asset management firms
• Investment banks
• Quantitative trading firms
• Systematic fixed-income or interest-rate strategy research teams
Previous experience reviewing quantitative models, validating trading strategies, or assessing research methodology against industry best practices is an added advantage.
Compensation & Work Arrangement
• Pay Rate: $80–$150 per hour
• Location: Remote
• Engagement Type: Contract-based project
• AI Experience: Not required
How to Apply
Interested candidates with strong quantitative finance expertise and hands-on experience in fixed-income or rates strategy research are invited to share their updated resumes, highlighting relevant experience in systematic trading, backtesting, and quantitative modeling. Share at Email ID : baulearpita@gmail.com OR Whatsapp: 8777514665

Work arrangement
Yes