PredictRAM Talent Hunt

India’s only Risk Management and Financial Analytics firm — Backed by IIT Kanpur, Tenity F10 Singapore Graduate and SEBI registered Research Analyst Firm.

What is this?

We’re launching a Talent Hunt for Financial Research Analysts. You’ll prepare research reports and analyze major market events — government policies, macro and micro economic factors, and company financial events. We evaluate your performance using transparent parameters. Top performers get internship opportunities with us or partner companies.

How we evaluate

Our scoring engine analyzes every report and produces a composite Quality Score. Below are the parameters and weights we use.

Factual Accuracy
Data sources, metrics, numeric evidence
Predictive Power
Backtest/trend consistency
Bias Control
Neutral tone, balanced perspective, risk acknowledgment, scenarios
Originality
Lower plagiarism → higher originality
Risk Disclosure
Specific risks, breadth, clarity
Transparency
Assumptions, data references
Geopolitical Assessment
Macro context and implications
SEBI Compliance
Disclosures, disclaimers, conflicts, methodology
Content Quality Metrics
Depth (financial/technical), citations, price target clarity, timelines, risk mentions
Content Guidelines Compliance
Methodology explained, assumptions stated, peer comparison, sensitivity, timelines
Stock Quality Assessment
Ticker-level quality rolled into portfolio insights

Penalties reduce the base score where applicable:

  • Plagiarism Penalty (based on plagiarism score)
  • AI-detection Penalty (based on AI probability)

What you’ll do

  • Prepare high-quality equity research reports
  • Analyze market events: government policy changes, macro and micro developments, company financial events
  • Use evidence, data, and balanced argumentation; state assumptions clearly
  • If you are a Python coder, build trading and investing models and sell them to users

Selection & Internship

We shortlist based on the metrics above. Top performers are offered internships with PredictRAM or partner companies.

Apply Here

Python Coder Track — Build & Sell Models

If you’re strong in Python, you can build trading and investing models and offer them to users through our platform.

What you can build
  • Signal engines: momentum, mean-reversion, event-driven, pairs trading
  • Risk models: VaR/Expected Shortfall, drawdown control, regime detection
  • Portfolio tools: Markowitz/Black–Litterman optimizers, factor tilts, rebalancers
  • Data pipelines: screeners, fundamental/alternative data enrichment, feature stores
Submission requirements
  • Clear README covering objective, inputs, outputs, assumptions, and limitations
  • Backtests where possible (3–5 years): CAGR, Sharpe, Sortino, Max Drawdown, hit ratio
  • Risk disclosures and scenario analysis; parameter sensitivity if applicable
  • Configurable parameters with safe defaults; deterministic seeds for reproducibility
  • Secure handling of secrets (no hard-coded keys); use environment variables
Distribution & revenue
  • List as free or paid; creators receive a revenue share on paid subscriptions
  • All models undergo quality and compliance review before listing
  • Versioned releases with changelogs so users can track updates
Tech & deployment
  • Python 3.9+; common libs: pandas, numpy, scikit-learn, statsmodels (others on request)
  • Expose a simple interface like run() or predict(df) with clear I/O schema
  • Accept CSV/Parquet/REST inputs; cite and license your data sources properly

Disclaimer: Educational tools only and not investment advice. Ensure appropriate disclosures and compliance with applicable regulations.

Get Started

Advisory Board & Mentors

Advisor
Mr. Alok Bansal
Co-Founder & Vice Chairman
PB Fintech (policybazaar)
Advisor
Mr. Ajay Kumar Surana
Ex Director
Moody's Analytics
Advisor
Mr. Dinesh Arora
Ex GM
Dena Bank
Advisor
Mr. Amit Tygi
Associate Director
Indian School of Business
Advisor
Mr. Sorabh Agarwal
Co Founder AngelBay
Ex Crisil AVP
Advisor
Mr. Aditya Arora
CEO
CEO FAAD Network Private Limited

Core Team — PredictRAM

Subir Singh — Founder, Compliance Officer
Background: Financial Market Professional, IIT Kanpur Research Fellowship holder, and Innovator of Portfolio Risk mitigation technology using AI and Tokenization under TIDE 2.0 EIR Meity Govt of India. Patent Applied.
Expertise: 14+ years in equity, derivatives, currency, portfolio management, and financial instruments. Over 6+ years of coding experience with proficiency in PHP, jQuery, MySQL Database, R, ARIMA, ARMA, ANN, CNN, RNN, LSTM, GARCH, VaR, Monte Carlo, Options Greeks, Currency strategy payoff models. CFA US Candidate. Certified arbitrageur and algo trading operations from BIFM.
Dr. Sheetal Maurya
Background: Assistant Professor, University of Delhi LSRCC; Ph.D. in Finance; Research Scholar at Department of Commerce, Delhi School of Economics. Author of several finance/econometrics papers. CFA US Candidate.
Expertise: 8+ years of academic experience, University Gold Medalist (BBS). Lifetime member, Indian Accounting Association.
Why PredictRAM?
  • India’s only Risk Management & Financial Analytics firm of its kind
  • Backed by IIT Kanpur, Tenity F10 Singapore Graduate
  • SEBI Registered Research Analysts
  • World-class infra to enhance your skills
Quick Tips
  • Always cite data sources and quantify claims
  • Explain methodology and assumptions
  • Be balanced; outline risks and scenarios
  • Ensure SEBI-compliant disclosures