Xerago - Research Analyst - Quant

Role Overview:

We are seeking a highly analytical and detail-oriented Research Analyst to join our investment and quant strategy team. The ideal candidate will be responsible for developing and testing quantitative models, conducting extensive research on financial markets, analyzing alternative data sets, and ensuring alignment with regulatory and risk frameworks. This is a strategic role requiring strong coding, modeling, financial, and compliance acumen.

Key Responsibilities:

Quantitative Research & Modeling

- Build, refine, and maintain quantitative models for trading, risk forecasting, and investment analysis.

- Translate trading ideas and financial hypotheses into testable pseudo code and model logic.

- Conduct robust back-testing of trading strategies in live or simulated environments.

- Analyze performance and fine-tune model parameters to optimize returns and reduce drawdowns.

Market & Data Analysis

- Conduct in-depth research using structured and unconventional datasets to derive actionable insights.

- Monitor and interpret market trends, economic indicators, and geopolitical events impacting asset classes.

- Evaluate portfolio strategies and identify alpha-generating opportunities through multi-asset research.

Systems & Implementation

- Work with developers to integrate models into trading systems ensuring minimal latency and slippage.

- Understand and contribute to improving trade execution workflows and system architecture.

Documentation & Reporting

- Write detailed Product Notes outlining research methodology, assumptions, outcomes, and data evidence.

- Present findings to both technical and non-technical stakeholders in clear, structured formats.

- Maintain comprehensive documentation of strategies, model changes, and research archives.

Compliance & Risk Oversight

- Ensure all research and trading practices comply with SEBI and other relevant regulatory guidelines.

- Implement and monitor risk parameters and support periodic internal audits and control checks.

- Contribute to policy updates, compliance reports, and due diligence documentation.

Required Qualifications:

Preferred: Advanced degrees such as MBA (Finance), CFA, or CFP.

NISM Series XV and Series X-A & X-B certifications Mandatory.

510 years of experience in quantitative research, trading strategy development, or financial modeling.

Required Skills:

- Strong proficiency in mathematical modeling, time-series analysis, and data science techniques.

- Knowledge of Python, R, or similar programming languages for data handling and algorithm development.

- Expertise in back-testing frameworks, portfolio optimization, and risk-adjusted performance metrics.

- Deep understanding of SEBI regulations, investment management guidelines, and compliance protocols.

- Ability to write pseudo code and explain models to both technical and business stakeholders.

- Experience using alternative data, APIs, or web-scraped sources in financial analysis is a strong plus.

- Familiarity with trading systems, OMS/EMS tools, and real-time execution principles.

Soft Skills:

Strong analytical and critical thinking abilities.

Excellent verbal and written communication skills.

High ethical standards and commitment to fiduciary responsibility.

Ability to work under pressure, manage timelines, and multi-task across projects.