Quantitative Developer - Python
Qube Research & Technologies
Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
218 open quantitative roles across 31 companies are on ApplySarthi right now, most of them in Mumbai (7), Delhi NCR (6), Bengaluru (1).
- Quantitative Analyst InternTalos Trading
- Senior Quantitative ResearcherSwissblock
- Working Student (m/f/d) Quantitative developmentSolactive
- Quantitative Trading & Research - Energy - Executive DirectorJPMorgan
- Quantitative Analysis, AVPStatestreet
What quantitative roles keep asking for: Python (40%), Machine learning (22%), C++ (18%) — counted across their open postings here.
Machine learning jobs · Python jobs
Qube Research & Technologies has 200 open roles listed here.
- Data Support Engineer
- Data Scientist - Market Data
- Energy Trading Full Stack Engineer – Spark
- Quantitative Developer - Pre/Post-Trade Analytics
- Quantitative Developer - Python
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for quantitative roles keep coming back to Python, Machine learning, C++. Practise those questions before you sit with Qube Research & Technologies.
Questions you are likely to be asked
- Why do you want to join Qube Research & Technologies?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Quantitative Developer - Python at Qube Research & Technologies interview free →Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
You will work alongside quantitative researchers and portfolio managers to develop the technology that underpins systematic trading strategies. This role is embedded within the research environment, where engineering and quantitative research are closely integrated. You will help develop research frameworks, productionise trading strategies, and improve the engineering standards that support systematic investment research.
Your future role within QRT
- Build, maintain and enhance the quantitative trading framework used for research and production
- Productionise quantitative trading strategies developed by researchers
- Collaborate with quantitative researchers and portfolio managers to improve research workflows, development practices and engineering standards
- Develop tooling and infrastructure that supports the full lifecycle of systematic trading strategies
- Contribute to machine learning and data driven research initiatives through software engineering and platform development
- Evolve the software platform to meet changing research and business requirements
- Support technically complex research projects and deliver robust production solutions
Your present skillset
- 5 or more years of professional experience as a Quantitative Developer or Quantitative Technologist working directly with quantitative research teams within a systematic investment environment
- Strong Python development skills
- Experience building software for quantitative research and systematic trading workflows
- Strong understanding of quantitative trading strategies, with the ability to review and improve research code while understanding the underlying investment logic
- Experience developing machine learning pipelines and supporting production deployment
- Experience applying AI tools or developing AI enabled solutions
- High standards for code quality, testing and software engineering best practices
- Ability to manage multiple priorities and work effectively in a collaborative environment
- Strong communication skills and the ability to work closely with quantitative researchers, portfolio managers and engineering teams
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- AI Platform EngineerQube Research & Technologies · mumbai
- Business Analyst – Trading SystemQube Research & Technologies · mumbai
- Data Operations Engineer - PythonQube Research & Technologies · mumbai
- Financial Data Analyst - PythonQube Research & Technologies · mumbai
- Quantitative ResearcherQube Research & Technologies · mumbai
- Technical Program Manager - IT InfrastructureQube Research & Technologies · mumbai
- 2027 – Graduate or Internship, Infrastructure Engineer Qube Research & Technologies
- 2027 - Internship, Data EngineeringQube Research & Technologies
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹99 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on greenhouse · posted 2026-07-31. ApplySarthi collects openings and links to application pages; the role is advertised by Qube Research & Technologies, not by us.