Financial Research Analyst Intern
PredictRAM - SEBI Registered Research Analyst Firm
Job Overview
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Job Description
Financial Research Analyst Intern at PredictRAM
PredictRAM is seeking motivated individuals for a Financial Research Analyst Internship. This role offers hands-on experience in quantitative analytics, financial modeling, and AI-driven risk management within a SEBI-Registered Research Analyst firm.
About PredictRAM
PredictRAM is a SEBI-Registered Research Analyst firm dedicated to making risk management accessible and affordable through its Quantitative Risk Intelligence as a Service (Q-RIAAS) ecosystem. Leveraging over 250 proprietary quantitative ML models and agentic AI systems, PredictRAM combines finance, technology, and data science to help investors and institutions understand, measure, and manage risk. The company is backed by IIT Kanpur and Tenity F10 Singapore.
About the Role
This internship is designed for aspiring Financial Research Analysts and Quant Developers who want practical exposure to institutional-grade research, quantitative modeling, and AI-driven risk analytics. Selected interns will gain hands-on experience in:
- Equity research and report writing
- Financial modeling and valuation
- Risk analysis and market forecasting
- Translating research into Python-based quantitative models
- Creating compliance-ready research documentation
- Client risk based market and basket analysis
Key Responsibilities
- Prepare equity and sector research reports with factual accuracy and proper risk disclosures.
- Analyze macroeconomic indicators, company financials, and relevant government policies.
- Convert financial research into Python, SQL, and AI/ML-based quantitative tools.
- Work closely with PredictRAM mentors to refine analysis and technical skills.
- Present insights through structured documentation, charts, and risk statements.
Qualifications
- Students or recent graduates in Finance, Economics, Statistics, Engineering, Data Science, or related disciplines.
- Strong analytical, quantitative, and writing skills.
- Basic understanding of financial markets and valuation concepts.
- Python knowledge preferred (pandas, numpy, scikit-learn, statsmodels).
- Excellent communication skills and attention to detail.
What You Will Gain
- Internship with real-world financial research exposure.
- Pre-Placement Offer (PPO) opportunities for high-performing interns.
- Continuous feedback and performance evaluation.
- Mentorship from professionals in finance, analytics, and quantitative research.
- Opportunity to publish and monetize quantitative models on the PredictRAM platform.
Program Details
- Duration: 2–3 months (with PPO extension based on performance)
- Mode: Remote, flexible, project-based
- Stipend: Competitive, with performance-linked incentives
Disclaimer
PredictRAM is a SEBI-Registered Research Analyst. All research reports and quantitative models developed during this internship are strictly for educational and analytical purposes and do not constitute investment advice. Based on performance after completion of three months, selected candidates may be offered full-time roles at PredictRAM or its associate companies, with compensation aligned to industry standards.
Key skills/competency
- Financial Research
- Quantitative Analytics
- Python
- Financial Modeling
- Risk Management
- Equity Research
- Data Science
- Machine Learning
- Valuation
- Report Writing
How to Get Hired at PredictRAM - SEBI Registered Research Analyst Firm
- Tailor your resume: Highlight relevant coursework in finance, economics, statistics, or engineering. Emphasize Python skills and any quantitative project experience.
- Showcase analytical skills: Quantify your achievements whenever possible. Include any experience with financial modeling, valuation, or market analysis.
- Demonstrate Python proficiency: If Python is listed as preferred, ensure your resume clearly details your experience with pandas, numpy, scikit-learn, or statsmodels.
- Highlight communication abilities: Mention experience in report writing, presenting data, or collaborating in team projects.
- Address the remote aspect: If applicable, briefly mention your ability to work independently and manage your time effectively in a remote setting.
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