🌎Quantitative Rates Researcher, Remote- Contract
Free to start · No card · 5 credits the moment you sign up
Job description
Role Title: Quantitative Rates Researcher
Role Type: Contract
Location: Remote
Required Skills:
Python
R
Pandas
Numpy
Scipy
Fixed income analysis
Rates markets expertise
Systematic strategy backtesting
Yield curve modeling
Carry/roll-down analytics
Relative value trading
Sofr/eurodollar instruments
Treasury futures
Statistical rigor
Factor modeling
Alpha research
Transaction cost analysis
Liquidity assessment
Model validation
Written communication
Attention to detail
Quantitative research
Data analysis
Reviewing methodological issues (lookahead bias, overfitting, data snooping)
Collaborative communication
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.
Scope of Work:
Review and assess AI-generated quantitative research and trading strategy outputs focused on fixed income and rates markets
Identify and document methodological issues such as lookahead bias, overfitting, data snooping, and unrealistic transaction cost assumptions
Evaluate the accuracy of backtesting frameworks, especially with respect to rates-specific mechanics like carry/roll-down and contract roll conventions
Scrutinize the statistical rigor of signal construction, factor modeling, and alpha research in the provided outputs
Deliver detailed written feedback on model assumptions, implementation fidelity, and research soundness
Collaborate asynchronously with project coordinators by clarifying findings and suggestions through clear written and verbal communication
Contribute to the refinement of research evaluation processes for greater accuracy and relevance
Preferred Qualifications:
Background as a quantitative researcher, analyst, or consultant with expertise in fixed income or rates markets
Demonstrated experience building and backtesting systematic rates strategies at a hedge fund, asset manager, or bank
Advanced proficiency in Python (pandas, numpy, scipy) or R for quantitative research and data analysis
Strong understanding of yield curve modeling, carry/roll-down analytics, relative value trading, SOFR/Eurodollar instruments, and Treasury futures
Comfort evaluating research under real-world trading conditions, including transaction costs and liquidity constraints
Exceptional attention to detail and ability to articulate complex quantitative findings in clear, concise written feedback
Prior experience assessing or reviewing models for compliance with best practices in quantitative finance is a plus
Originally posted on Himalayas
Prepare your application
Use the description above to assess your fit for Xperteez Technology. This checklist is guidance from Resumize, rather than additional requirements from the employer. Imported listings can be shortened or change after collection, so confirm the complete description and current availability before sending an application.
Match requirements to evidence
Identify the responsibilities and skills the employer explicitly names. For each important requirement, choose one example from your work, education, training, or projects. Explain what you did, how you did it, and what changed as a result. Include a measurable outcome when you can support it. If you lack a requirement, describe related experience accurately instead of adding an unfamiliar skill to your resume.
Put the most relevant examples near the top of your resume. Keep job titles, dates, qualifications, and contact details consistent across your application materials. Use the employer’s terminology when it describes your experience accurately; a copied list of keywords does not explain your contribution. A short, specific bullet is easier to review than a paragraph that mixes several unrelated duties.
Check the working arrangement
Confirm the location, schedule, employment type, and any eligibility requirements on the employer’s site. A remote label does not establish worldwide eligibility or flexible hours. If compensation, benefits, equipment, travel, or contract duration are missing from this listing, write down your questions for the recruiter. Do not assume details from another opening at the same company apply to this role.
Review before submitting
Follow the employer’s requested file format and application instructions. Open your exported resume and check that its text is selectable, its sections read in order, and its links work. Proofread names, dates, and contact information. Share confidential work samples only when you have permission, and use an anonymized example when necessary.
Submit through a trusted employer or recruiting destination. If the original listing has disappeared, search the employer’s careers page for the title rather than assuming the vacancy remains open. Save the application date, job reference, and the version of your resume you sent. Those details help you prepare for a later conversation and avoid submitting conflicting information through several job boards.
Review your resume for writing and readability feedback, or browse other openings if this opportunity is unavailable.