GraceMark Solutions
Website:
gracemarksolutions.com
Job details:
Quantitative Data Analyst
- Location: India (Remote)
- Job Type: Full-time | Long-term
- Salary: INR 1,250,000 – 2,250,000 per year
Role Overview
This is a hands-on, high-impact role where you will contribute across data engineering, quantitative modeling, and research support.
You will collaborate closely with quant analysts and leadership based in London, working on data products used by global institutional clients. This role requires strong analytical thinking, ownership, and the ability to work independently in a fast-paced environment.
Key Responsibilities
Data Collection & Automation
- Maintain and enhance data collection and processing pipelines across macroeconomic and financial datasets
- Build and scale ETL workflows to onboard new data sources and markets
- Monitor data quality and resolve pipeline issues using practical problem-solving skills
- Work effectively with incomplete or imperfect real-world data
R&D – Models & Data Products
- Support development of quantitative models and data products
- Perform statistical analysis, backtesting, and data exploration
- Contribute to machine learning initiatives, including feature engineering and model evaluation
Research Support
- Assist with daily market briefings when needed
- Source data, write summaries, and ensure continuity of client-facing content
Requirements
Must Have
- Degree in Economics, Quantitative Finance, Statistics, or a related field
- Strong foundation in macroeconomics
- Proficiency in Python (pandas, numpy; experience with scikit-learn or similar is a plus)
- Solid understanding of statistics and/or machine learning (regression, time series, classification, etc.)
- Excellent written and verbal communication skills in English
- Ability to work independently and take ownership of projects end-to-end
- Strong analytical thinking and intellectual curiosity
Nice to Have
- Knowledge of fixed income or sovereign debt markets
- Experience working with messy, real-world datasets
- Familiarity with NLP or large language models
- Experience with SQL and cloud platforms (e.g., AWS)
- Interest in emerging and frontier markets
Click on Apply to know more.