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Data Engineer - Research at Qode Advisors Llp

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Qode Advisors Llp

Mumbai · On-site · 0-3 Yrs · Oct 4

1 open role0 posted in 7d1 in 30d

Hiring: Engineering

Job description

Overview

Data Engineer – Research

Responsibilities

Data Cleaning & Management
Collect, clean, validate, and maintain financial and market datasets.
Identify data quality issues and ensure accuracy and consistency.
Automate recurring data collection and updating processes.
Backtesting Infrastructure
Support the development and maintenance of backtesting frameworks for research strategies.
Build data pipelines and processes required for historical analysis.
Work with researchers to improve the reliability and efficiency of backtesting systems.
Research Dashboards
Develop and maintain dashboards for research and investment analytics.
Convert research requirements into useful data visualisations and reporting tools.
Ensure dashboards are accurate, updated, and user-friendly.
Investment Reporting
Support the preparation and automation of investment and research reports.
Generate recurring performance, portfolio, and analytical reports.
Automate manual reporting processes wherever possible.
Research Support
Work closely with researchers and investment teams on data-related requirements.
Perform data analysis and ad-hoc data extraction as required.
Support new research initiatives and contribute to improving the team's data infrastructure.

Qualifications

Location: Mumbai
About the Role
We are looking for a Data Engineer to join our Research team and support the development of data-driven investment research and analytics. The role will involve working with large datasets, building and maintaining data pipelines, supporting backtesting infrastructure, and developing dashboards and reporting tools used by the Research team.
This is an excellent opportunity for someone with a strong interest in data, analytics, financial markets, and quantitative research to work closely with an investment research team.
Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field.
0–2 years of experience in Data Engineering, Data Analytics, or a related role; freshers with strong technical skills are welcome.
Strong knowledge of Python and SQL.
Good understanding of databases and data structures.
Strong problem-solving and analytical skills.
Ability to work with large datasets and identify data inconsistencies.
Good communication skills and ability to work closely with non-technical stakeholders.
Exposure to financial markets, capital markets, or investment research.
Familiarity with Git and software development best practices.
Exposure to data visualisation tools such as Power BI, Tableau, Streamlit, or similar.
Understanding of backtesting, financial time series, or quantitative research.
Real-world financial and market data
Research and investment analytics
Strategy backtesting infrastructure
Automated research dashboards
Data pipelines and reporting automation
Cross-functional projects with the Research and Investment teams

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Job application FAQ

Last updated 13 October 2026

How do I apply for Data Engineer - Research at Qode Advisors Llp?: Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Qode Advisors Llp may attach structured assessments to interview rounds after you apply.
Does Feedback AI show a match score for this Data Engineer - Research role?: Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
Is Data Engineer - Research remote or on-site in Mumbai, Maharashtra?: This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
What skills matter for this Data Engineer - Research role at Qode Advisors Llp?: This is a mid-level Data Engineer - Research role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.

Job description

Overview

Responsibilities

Qualifications

Job application FAQ

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