ApplySarthiData Quality Engineer
IMC
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
1,515 open quality roles across 218 companies are on ApplySarthi right now, most of them in Bengaluru (88), Chennai (47), Hyderabad (39).
- Tupande Quality Assurance Specialist (Fixed-term)One Acre Fund
- Medical Quality Control ManagerJobgether
- Quality Assurance EngineerExeon Analytics
- Quality Assurance SpecialistMotorway
- Senior Product Quality EngineerAnybotics
Machine learning jobs · Python jobs
IMC has 175 open roles listed here.
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
1,515 open quality roles are hiring right now across 218 companies, mostly in Bengaluru — so the questions repeat. Practise them before you sit with IMC.
Questions you are likely to be asked
- Why do you want to join IMC?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- 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?
- What do you do when a production issue happens on your code?
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 Data Quality Engineer at IMC interview free →At IMC, data shapes trading decisions across a wide range of financial products. The Data Quality team owns the integrity, completeness, and timeliness of the datasets our Quantitative Researchers and Traders rely on. As a Data Quality Engineer, you design the statistical methods that detect, characterise, and quantify issues in those datasets. Additionally, you own historical datasets that turn raw vendor and internal feeds into pricing-grade inputs and output.
Your responsibilities
Statistical methods
- Design statistical methods from first principles to detect outliers, distribution shifts, stale values, missing values, and inconsistencies across market datasets.
- Investigate anomalies, quantify their impact on pricing and trading decisions, and communicate findings through written analyses and design documents.
- Refactor and generalise methods as new asset classes and regions expose edge cases.
Historical Datasets
- Ingest, assess, clean and maintain historical data from various external sources by designing and owning automated pipelines for corrections
- Engage researchers and traders directly on data trust, methodology, and trade-offs.
- Coordinate across curators, quantitative researchers, and developers for each dataset.
Curation in production
- Roll out new and existing methods to production across regions and asset classes.
- Contribute production code in shared libraries
What you bring to the team
- 3–5 years working with large-scale financial or scientific datasets.
- A Master's degree in a quantitative discipline (Mathematics, Statistics, Econometrics, Physics, or similar).
- Strong Python including the statistical libraries used for time-series analysis and surface fitting.
- Comfortable moving between interactive analysis and production code.
- A self-starter who finds the work that must be done, and does it without direction
- Direct stakeholder communication with researchers and traders on data trust.
- Intellectual curiosity about messy real-world market data.
- Genuine interest in financial markets (no prior knowledge or experience is required)
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
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
- Connect with us at ICLR 2026!IMC · mumbai
- Corporate Development ManagerIMC · mumbai
- Executive AssistantIMC · mumbai
- IT Operations EngineerIMC · mumbai
- Operations TraderIMC · mumbai
- Research Analyst (Indian Equities)IMC · mumbai
- Trade Surveillance AnalystIMC · mumbai
- Information Security EngineerIMC · mumbai
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 2026-09-01. ApplySarthi collects openings and links to application pages; the role is advertised by IMC, not by us.