Quantitative Research Analyst

Groww; Bengaluru; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Groww in Bengaluru seeks a Quantitative Research Analyst to drive data-driven investment strategies for Wealth Management. You will develop analytical frameworks, build predictive models, and support portfolio construction with quantitative insights across funds, equities, PMS, AIFs, bonds, and alternatives.

The role requires advanced statistics, ML, and programming in Python/R/SQL, with a track record of deploying models in production and collaborating with Wealth Advisors.

Qualifications

• 3-10 years of experience in Quantitative Research, Portfolio Analytics, Risk Management, or Investment Strategy within Wealth Management or Financial Services.
• Proven ability to build and deploy quantitative models in production environments.
• Experience with alternative assets (PMS, AIF) and quantitative portfolio construction.

Responsibilities

• Develop and implement portfolio optimization models and factor models using statistical methods and ML techniques.
• Design backtesting, hypothesis testing, and validation of trading strategies and rebalancing algorithms.
• Build predictive models for market trends and sector rotation strategies; conduct market intelligence and trend analysis.

Skills

Statistics

Time series

Financial markets

Portfolio analytics

Machine learning

Education

Bachelor's or Master's in Finance

Quant certifications (CFA/FRM)

Tools

Python

R

SQL

Job description

About Groww:

We are a passionate group of people focused on making financial services accessible to every Indian through a multi-product platform. Each day, we help millions of customers take charge of their financial journey. Customer obsession is in our DNA. Every product, every design, every algorithm down to the tiniest detail is executed keeping the customers’ needs and convenience in mind. Our people are our greatest strength. Everyone at Groww is driven by ownership, customer-centricity, integrity and the passion to constantly challenge the status quo.

Are you as passionate about defying conventions and creating something extraordinary as we are? Let’s chat.

Our Vision

Every individual deserves the knowledge, tools, and confidence to make informed financial decisions. At Groww, we are making sure every Indian feels empowered to do so through a cutting-edge multi-product platform offering a variety of financial services. Our long-term vision is to become the trusted financial partner for millions of Indians.

Our Values

Our culture enables us to be what we are — India’s fastest-growing financial services company. It fosters an environment where collaboration, transparency, and open communication take center-stage and hierarchies fade away. There is space for every individual to be themselves and feel motivated to bring their best to the table, as well as craft a promising career for themselves.

The values that form our foundation are:

• Radical customer centricity
• Ownership-driven culture
• Keeping everything simple
• Long-term thinking
• Complete transparency

About the Role

We are seeking a Quantitative Research Analyst to drive data-driven investment strategies and portfolio optimization for our Wealth Management team. This role combines advanced quantitative modeling, statistical analysis, and investment research to generate sophisticated insights for HNI and UHNI portfolios.

The position involves developing analytical frameworks, building predictive models, conducting factor-based analysis, and supporting Wealth Advisors with quantitative recommendations across Mutual Funds, Equities, PMS, AIFs, Bonds, and alternative investment strategies.

Key Responsibilities

• Develop & Implement Quantitative Models – Build and maintain portfolio optimization models, factor models, and risk assessment frameworks using statistical methodologies and machine learning techniques.
• Statistical Analysis & Backtesting – Design, backtest, and validate trading strategies and rebalancing algorithms; conduct hypothesis testing and statistical significance analysis on portfolio recommendations.
• Market & Sector Quantitative Research – Build predictive models for market trends, sector rotation strategies, and relative value analysis; develop quantitative thematic research across asset classes.
• Big Data & Time Series Analysis – Process large datasets, perform time series forecasting, conduct correlation studies, and build dashboards for real-time portfolio monitoring and market surveillance.
• Model Development & Validation – Develop regression models, correlation studies, and machine learning algorithms to identify investment opportunities; validate model robustness and implement quality assurance checks.
• Build Advanced Dashboards & Analytics Tools – Create sophisticated Excel models, Python/R scripts, and visualization dashboards for portfolio analysis, performance tracking, and scenario planning.
• Support Portfolio Construction – Provide quantitative input on asset allocation, diversification strategies, and optimal portfolio weighting using Modern Portfolio Theory and other optimization techniques.
• Market Intelligence & Trend Analysis – Track macroeconomic indicators, market dynamics, and emerging trends to support quantitative investment theses and risk management strategies.

What We're Looking For

Qualifications

• Bachelor's or Master's degree in Finance, Economics, Mathematics, Physics, Computer Science, Statistics, or Engineering.
• CFA, FRM, or advanced quantitative certifications.
• Knowledge of Python, R, SQL, or similar programming languages is highly valued.

Preferred Experience

• 3-10 years of experience in Quantitative Research, Portfolio Analytics, Risk Management, or Investment Strategy within Wealth Management, Investment Banks, Asset Management firms, or Financial Services organizations.
• Prior experience building and deploying quantitative models in production environments.
• Exposure to alternative assets (PMS, AIF) and quantitative portfolio construction.

Skills Required

• Advanced Statistical & Mathematical Knowledge – Proficiency in regression analysis, time series analysis, probability theory, hypothesis testing, and multivariate statistics.
• Financial Markets Expertise – Understanding of Mutual Funds, Equities, PMS, AIFs, Bonds, derivatives, and quantitative investment strategies.
• Advanced Excel Skills – Proficiency with complex modeling, data visualization, pivot tables, and VBA automation.
• Machine Learning & Predictive Analytics – Familiarity with supervised/unsupervised learning techniques, predictive modeling, and data classification.