Quant Algo Strategist - Algo Wealth

Role Overview

Univest is hiring one exceptional quant strategist to build the strategy engine behind Algo Wealth. You will design, backtest and own a portfolio of profitable, risk-controlled algo strategies, packaged by capital tier (Rs 1.5-5 Lakh up to Rs 50 Lakh+), for retail and HNI users. We judge strategies on risk-adjusted consistency, not headline returns: risk-reward, Sharpe ratio and percentage of profitable days come first. A verified track record of at least 1 year of live P&L is mandatory.

About Univest and Algo Wealth

Univest Communication Technologies Pvt. Ltd. is a SEBI-registered Indian fintech (Stock Broker, Investment Adviser and Research Analyst) with stock advisory, MF advisory, integrated demat/broking and an AI intelligence layer (Univest Brain).

Algo Wealth is our upcoming algo trading product. Users deploy capital into ready-made, backtested strategies directly from their Univest broking account, with margin usage sized to their capital. You will be the person who decides what goes on the shelf and how it behaves in live markets.

What You Will Do

• Design and backtest strategies across Nifty, Bank Nifty, Sensex, stock F&O and (where relevant) commodities, in options, futures and hedged combinations.
• Build a strategy library mapped to capital tiers, with a clear minimum deployable capital, margin requirement and capital allocation for each strategy.
• Define diversification logic: how a user's capital is split across strategies, underlyings, timeframes and market regimes as the amount grows.
• Run rigorous validation: out-of-sample and walk-forward tests, parameter-sensitivity checks, realistic costs, slippage, STT/charges and liquidity assumptions.
• Set risk rules for every strategy: stop-loss logic, position sizing, max drawdown, daily loss limits and kill-switch conditions.
• Monitor live performance against backtest, detect strategy decay, and retire or retune strategies on a defined schedule.
• Work with Engineering on execution logic (order types, slippage control, failure handling) and with Product and Compliance on user-facing disclosures.
• Produce a plain-language strategy factsheet per strategy for the app (logic type, risk profile, expected drawdown, capital range).

Must-Have Requirements

• Verified live P&L of at least 1 continuous year in Indian markets (F&O), supported by broker statements, a verified platform record (such as Sensibull verified P&L) or audited records. Backtest-only or screenshot-only claims are not accepted.
• Proven ability to build strategies from scratch, with full ownership of the research, backtest and live deployment cycle.
• Strong quantitative skills: statistics, time-series analysis, portfolio construction, position sizing and risk modelling.
• Deep knowledge of options (Greeks, IV, skew, expiry behaviour), futures and Indian market microstructure, including margin, SPAN and exposure rules, lot sizes and expiry rules.
• Hands-on coding in Python (pandas, NumPy) or equivalent, and experience with backtesting frameworks and tick or minute-level data.
• Demonstrated focus on risk-adjusted returns: can show Sharpe, drawdown, win-day percentage and risk-reward for their own live book.
• Ability to design capital-tier-specific strategy sets and explain the diversification logic behind each.
• Integrity and transparency: willing to share full methodology, losing periods and failure cases with Univest.