Engineer → Institutional Research / Quant / Tier-1 Finance
Target: ₹20+ LPA · 2026 · Goldman Sachs, JPMorgan, Morgan Stanley, elite PMS/AIFs, hedge funds, AI+finance — backed by a serious DSA/contest record.
Credibility signals: AI/ML, NISM (in progress), research publishing, alpha/backtesting, tier‑1 application track, and a 300‑problem DSA core set with multi‑platform contest participation (LeetCode, HackerRank, CodeChef, Codeforces).
Goldman Sachs, JPMorgan and similar firms continue to use a mix of online assessments (aptitude + coding on platforms like HackerRank or internal tools) and HireVue‑style video interviews for New Analyst / Engineering roles. Timelines and formats change every year, so treat the official careers pages as the single source of truth and add your own quarterly reminder to review them instead of relying on any fixed “Summer 2026” wording.
- Non-negotiable: LeetCode interview readiness (sustained, lower volume Feb → ramp Mar–May).
- Finish NISM by end-March; book March slot via NISM site now.
- Build 2 high-signal research assets: public model portfolio + 2 polished research reports.
- Optional (time-capped): WorldQuant IQC, Jane Street puzzles, QuantConnect Alpha Streams, Substack — sequenced so they don’t kill interview prep.
- Apply to Tier-1 programs as they open (GS New Analyst live/annual intake; prepare coding + valuation cases).
Strategic Identity
- Engineering background with decision-making and research output.
- Building institutional-grade artifacts: model portfolio, alpha engine, research reports.
- NISM track (mandatory); CFA L2 (high ROI).
Engineering + research + alpha/backtesting. Can build data pipelines, factor libraries, backtest engines, and write publication-quality equity reports. Not generic SWE.
No service roles. No generic SWE positioning. No exploratory or motivational framing — execution only.
Current Roadmap
Phase-based from today (Mar 2026 onward). Milestones and outcomes only.
Goals: NISM syllabus light (20–25%); LeetCode baseline (3×/wk, 1 medium/session); model portfolio infra (repo + data pipeline); 1 short research note (800–1K words).
Deliverables: GitHub repo skeleton + data ingestion; published short research note; LeetCode 15–20 problems logged.
Goals: Pass NISM (end March); Model Portfolio v0 + backtest; Research piece #2 (1.2–1.8K words, DCF + comps); LeetCode 3–4 problems/week.
Deliverables: NISM passed; model portfolio with historical backtest; 2 public research pieces; LeetCode cumulative 40–60.
Goals: Apply GS/other Tier-1; 3 stock pitches, 1 DCF walkthrough, 2 coding mocks/week; model portfolio live tracking; optional WorldQuant IQC registration.
Deliverables: Applications submitted; 3 polished stock pitches; 1 institutional-grade report PDF; monthly portfolio update.
Goals: OA → tech rounds; outreach to 30 PMS/AIF firms; optional QuantConnect/WorldQuant (time-capped); LeetCode maintenance.
Deliverables: 5–10 live interviews; 30 PMS/AIF outreach done; competition decision if productive.
Accept best offer (tier-1 preferred; PMS/startup if better upside). If no offer: CFA L1 planning + aggressive portfolio tracking. If offer: onboarding; Substack/QuantConnect low-effort only (1–2 hrs/week).
⚡ Immediate Checklist (This Week)
From roadmap. Check off as you complete.
Monthly execution blocks (from today)
Credential Strategy
ROI-driven. Timing and justification only.
NISM (Series XV or relevant module) — Pass by end-March 2026. Unlocks SEBI RA registration and institutional credibility. Book March slot via NISM site now. Exam calendars published monthly.
CFA Level II — Plan after NISM/offer decision. If no offer by Jun–Jul, begin CFA L1 timeline; L2 for next move or raises.
FRM, NSE certs, generic MOOCs — unless explicitly required by target role. Do not dilute focus.
Target Roles & Companies
₹20+ LPA. Realistic entry comp ranges.
| Segment | Firms / Roles | Entry comp (typical) |
|---|---|---|
| Tier-1 Investment Banks | Goldman Sachs (New Analyst), JPMorgan, Morgan Stanley | ₹20+ LPA (base + bonus for current graduate intakes). GS and peers typically use online assessments + HireVue-style interviews; expect coding + valuation cases. |
| PMS / AIF / Buy-side research | Elite PMS, AIF research, portfolio research | ₹18–28 LPA (varies by AUM and role). NISM + model portfolio + research reports are proof. |
| Hedge fund / Quant research | Quant research, alpha/strategy | ₹25–40+ LPA (higher bar). Alpha engine, backtest, factor library signal. |
| AI + finance hybrid | Data-driven research, ML for finance | ₹20–35 LPA. AI Financial Analyst–style project + research output. |
Projects
Proof of institutional-grade decision-making, research depth, and execution. Equity research, alpha, quant decision-making, and financial analysis automation only.
PROJECT 1: Global Alpha Engine (Flagship)
Purpose
Demonstrate end-to-end capability to build an institutional-grade strategy pipeline: universe selection, factor creation, backtesting, risk controls, and reporting. Exactly what PMs and quant researchers evaluate.
Universe
India (NSE/BSE) + US. Data sources: NSEpy, AlphaVantage, Quandl or paid (Tickertape). Corporate actions and point-in-time handling to avoid look-ahead.
Methodology
Factor library: value, momentum, quality, volatility (parameterized). Portfolio construction: risk parity / mean-variance / equal weight with turnover limits. Backtest engine (Backtrader or QuantConnect LEAN) with transaction costs and slippage.
Backtesting realism
Point-in-time (PIT) data storage; out-of-sample (e.g. 30% timeline); walk-forward; transaction-cost sensitivity; bootstrapped results for statistical significance where applicable.
Metrics (published)
CAGR (annualized), annualized volatility, Sharpe ratio (risk-free assumption documented), max drawdown, turnover, average holding period, information ratio vs benchmark (NIFTY 500 / S&P 1500).
What this proves to a PM / recruiter
Data → modeling → execution → risk in one pipeline. Can own strategy research from idea to backtest report.
Why this matters for ₹20+ LPA roles: End-to-end alpha and risk pipeline is the core ask for tier-1 research, PMS, and quant teams.
PROJECT 2: Model Portfolio (Mandatory)
Portfolio construction logic
Rules-based or factor-based construction; turnover limits and risk controls documented. Stop rules and position sizing explicit.
Monthly tracking and attribution
Positions, P&L, returns vs benchmark updated monthly. Attribution (sector, stock, factor) where feasible. One-page commentary per month.
Benchmark comparison
NIFTY / NIFTY 500 or S&P 1500. CAGR, Sharpe, max drawdown vs benchmark reported. Consistency of monthly returns and drawdown control documented.
Decision rationale
Each trade or rebalance explained in short form. Links to research notes or thesis where applicable.
Public transparency
GitHub + web page with positions and performance. No cherry-picking; full track record from start date. Best signal at 12+ months; start now.
Why this matters for ₹20+ LPA roles: Single most concrete proof for PMS and research analyst roles. Shows you can manage capital and explain decisions.
PROJECT 3: Institutional Equity Research Reports
Report structure
Thesis, industry context, valuation (DCF + comps), catalysts, risks, position sizing, disclosure. Replicable template; inputs and assumptions documented.
Publishing cadence
2 polished reports (Feb–Mar); 1 institutional-grade PDF (Apr). 1.2–1.8K words per report; 1.5–2K for the flagship PDF. Executive summary (2-page) for quick scan.
SEBI-style disclosures
Conflict and disclaimer language; no recommendations without disclosure. Aligns with NISM/SEBI RA expectations.
Writing quality as a signal
Analytical, factual, zero hype. Hiring managers judge: "Can you write a research report?" — replicable template and depth answer that.
Why this matters for ₹20+ LPA roles: Tier-1 research and PMS roles require written output. Reports are the primary artifact.
PROJECT 4: AI Financial Analyst (Optional but high-signal)
NLP + ML pipeline
Ingest annual reports / transcripts (XBRL, PDF). Extract key financial metrics and forward guidance (table extraction, entity linking). Produce analyst summary (400–800 words): KPIs, risks, sentiment. API or static site with example outputs for 10 companies.
What analyst work it automates
First-pass reading of 10K/earnings; KPI extraction; summarization. Reduces time to first draft; human analyst reviews and signs off.
Why this matters to research teams
Scaling research coverage and consistency. GS and data-driven research teams value automation of repeatable analyst tasks.
Why this matters for ₹20+ LPA roles: AI+finance and data-driven research roles explicitly value automation of analyst workflows.
Experimental / optional upside
QuantConnect Alpha Streams: Deploy one strategy; attempt licensing per Alpha Streams docs and fee model. Optional passive income and proof of execution. Time cap: 4–6 hrs/week.
WorldQuant BRAIN (IQC): Annual competition; top performers enter hiring/consulting funnel. High upside but competitive; only if 8–12 hrs/week can be committed without hurting interview prep.
Both are optional. Do not substitute for core: NISM, model portfolio, research reports, LeetCode.
Execution Timeline
Feb → Aug 2026. What is built, applied for, and published each phase.
Risks & Defensive Moves
Explicit. Defense for each.
| Risk | Defense |
|---|---|
| Competitions or Substack derail LeetCode consistency | Strict weekly time caps; 1-month trial before continuing optional channels. |
| Overfitting backtests (look-ahead bias) | Point-in-time data; out-of-sample tests (e.g. 30% timeline); transaction cost sensitivity. QuantConnect docs for realistic models. |
| Compliance / employer conflicts if monetizing strategies while employed | Disclose to hiring teams as required; separate personal projects from employer IP. |
Nail NISM and publish proof (model portfolio + 2 research reports) — unlocks most finance roles. Keep LeetCode consistent (small daily volume) through April; prepare coding + valuation in parallel.
DSA Master Tracker 2026
LeetCode, HackerRank & CodeChef progress — track problems, streaks and company focus.
💡 Progress is saved in this browser. Use Export JSON to backup; Save after updates.
Reference & Links
Roadmap-cited sources only.
Exam calendar & scheduling — book March slot now. NISM site publishes calendars monthly.
nism.ac.inNew Analyst / Summer Analyst programs evolve every year. Expect a mix of online assessments (often coding/aptitude on platforms like HackerRank or internal tools) and HireVue‑style or Superday interviews. Always rely on the official careers pages for current timelines and formats instead of any fixed “Summer 2026” description.
GS student programs (official)| Company | Platform | Notes |
|---|---|---|
| Goldman Sachs | HackerRank | Coding OA; 2 problems typical; valuation cases in interviews. |
| JP Morgan | HackerRank | 2 problems often; 60 min. Candidate OA writeups available. |
| Morgan Stanley | Internal | Coding + CS + aptitude. Timed practice recommended. |
- WorldQuant IQC — BRAIN platform; annual; top performers → hiring/consulting funnel. Check BRAIN portal for registration.
- QuantConnect Alpha Streams — Deploy strategies; licensing/fee models per docs. Optional passive income / discovery.
- Jane Street — Puzzles & competitions; signal for interviews. Low time cost; not substitute for interview prep.