Prakul Jaiswal

Quantitative analyst and researcher with six years of live systematic trading, including nearly four on an NBFC-incubated desk where live capital grew from ₹1 Cr to ₹25 Cr across futures, options, crypto and commodities. Co-built the full stack from research to execution: a 7B+ row tick-data warehouse, backtesting, multi-broker order management, tick-level risk and real-time reporting, with live results tracking backtests at over 95% correlation (Dashboard: nebula-orion.in/dashboard). Experienced presenting to senior stakeholders, including Managing Directors at a global bank.

Data Analyst, Quantitative Research & Trading at Unifynd Tech Pvt Ltd (Crest Ventures group) (2022-04 – 2025-12)

Systematic trading desk incubated by an NBFC

• Data: Built a full quant research stack (Python, Go, ClickHouse) on 7B+ rows of best-5 bid/ask tick data across Indian options, crypto, FX and commodities, with automated tick-by-tick ingestion and AWS-hosted deployment.
• Backtesting: Built a tick-level backtesting engine in Go and Python on ClickHouse for multi-leg options strategies and multi-asset portfolios, modelling per-leg stop-loss and profit-booking exits, follow-up legs triggered by exits, margin by spread structure, and per-trade costs (brokerage, STT, exchange fees, GST, slippage).
• Research: Developed momentum models and long/short regime signals, analysing risk through volatility clusters and time-series features across 1-second to 45-minute intervals. Achieved approximately 50% signal accuracy with an average win-to-loss ratio of 2:1 to 3:1.
• Risk: Ran multi-broker WebSocket feeds for tick-by-tick monitoring of positions, P&L and delta, and built systems that control exposure using quantitative and qualitative risk factors.
• Markets covered: Crypto F&O, NSE Equity F&O, BankNifty F&O, Nifty F&O, Forex Futures, MCX Futures.
• Built a notification system that sent investors real-time trade details with every order, alongside Metabase dashboards, later moving to an in-house front-desk dashboard.
• Coordinated with and reported to Managing Directors at a global bank and the NBFC's family office, presenting live performance, risk exposure and strategy updates.
• Led engineering, product and operations teams within a desk of up to 15 people, and kept investors informed through real-time dashboards and per-order explanations.
• Initiated and implemented the upskilling of 10 software engineers into quant engineers.

Systematic Trader (Independent) at Crest Ventures (2019-06 – 2022-03)

Managed capital for a principal investor at Crest Ventures, leading to a full-time offer in April 2022

• Built and ran automated crypto futures strategies on ETH, then AVAX, SOL, MATIC and LINK, combining momentum and mean-reversion models with regime detection; scaled capital to ₹1 Cr per account.
• Managed accounts for multiple investors at Crest Ventures, communicating the risks involved and submitting regular reports.

Intern, Founder's Office at KredX (2018-01 – 2018-08)

• Responsible for onboarding new clients onto KredX's invoice discounting platform.

Higher Secondary Education (2016)

Quantitative finance: self-taught