SapienPlus AI is building a quantitative research and synthetic intelligence platform combining market data, behavioral modeling, and AI-driven analytics.We are looking for a Data & Analytics Engineer to maintain data pipelines and prepare analysis-ready datasets for statisticians and researchers.This role involves working with broker APIs, subscribed data sources, and public datasets, and creating variables for downstream modeling.Location: Remote (Work from Home)Compensation: ₹50,000 per month (in-hand)CTC: Up to ₹9 LPA (based on experience & structure)Type: Full-time / Flexible hoursProfessionals returning to work after a career break are strongly encouraged to apply.Key Responsibilities• Ingest data from sources like IBKR, APIs, and public datasets• Maintain structured historical datasets• Clean and normalize incoming data• Create derived variables and indicators• Perform basic exploratory data analysis• Generate summary statistics• Automate periodic data refresh pipelines• Prepare datasets for statisticiansRequired Skills• Python (Pandas, NumPy)• API data ingestion• Data cleaning & preprocessing• SQL / structured data handling• Time-series data understanding• Basic exploratory analysisRequired Qualifications• Master’s degree in Statistics, Data Science, Engineering, Mathematics, Economics, or related field• Comfortable working independently in a remote environmentExperience level: 1–5 years (flexible for strong candidates, including return-to-work professionals)Good to Have• IBKR / financial market data experience• Scheduling pipelines (cron / Airflow)• Basic statistics knowledge• Data visualizationAbout SapienPlus AISapienPlus builds AI-driven analytics, synthetic populations, and quantitative research platforms combining data engineering, statistics, and behavioral modeling.Apply with resume and brief description of relevant experience.

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