Neo Group

Position : Test Lead / Quality Assurance Lead Algorithmic Trading (Cash, Futures and Options).

About Neo Group :

Neo group is a new age, focused Asset Management and Financial Advisory Platform that aims to provide clients with transparent, cost-efficient, and unbiased solutions.

Through its various business lines, Neo Group serves a vast diaspora of institutional and retail customers across India, with a view to empowering them to pursue their dreams.

Assisting in India's glorious aspiration on self-reliance and egalitarian prosperity is Neo's underlying goal, and we are proud to stand united in that journey.

We are building the next billion tech for the best wealth management platform and financial ecosystem.

The organisation is founded by Nitin Jain (Ex CEO of Nuvama Wealth Management) and backed by Peak XV (earlier Sequioa), MUFG and Euclidean Capital as investors.

About Neo Markets :

Neo Markets is a multi-asset, multi-strategy trading business of the Neo Group, striving superior risk adjusted returns.

Our aim and unflinching focus are to be the best analytical and algorithmic trading desk in the country.

The desk prides itself in delivering non-correlated superior risk adjusted returns across market cycles.

Over the years, we have found that people who bring a sense of ownership and passion, and come with a grit to think, ideate, solve problems, build systems, and make each of that extra buck off the table with conscious risk taking have better odds of succeeding.

We are looking for precisely these folks.

Neo Group Today :

Number of Employees : 600 +.

Asset Management : AUM of ~? 15,000 Cr across various funds.

Neo Wealth Management : Asset Under Advisory of ~? 50,000 Cr.

Well capitalized and profitable.

Job Responsibilities :

Algorithm Testing & Validation :

- Design, execute, and automate test cases for cash, futures, and options trading strategies.

- Validate algorithm logic by collaborating with strategy writers and quants to deeply understand the trading models.

- Perform end-to-end testing : order generation, order routing, risk checks, trade execution, P&L calculation, and reporting.

Risk & Control Testing :

- Identify and test all risk parameters associated with trading algorithms (e.g., max order size, exposure limits, fat-finger checks, kill switches).

- Simulate adverse market conditions to ensure algorithms behave within defined risk tolerance.

- Ensure compliance with exchange/regulatory guidelines around algorithmic trading.

Test Planning & Case Creation :

- Develop comprehensive test plans and test cases for new and existing algorithms.

- Work closely with back-testing teams to validate results from historical simulations against live test environments.

- Document test scenarios covering latency, slippage, market impact and failover behavior.

Coordination & Communication :

- Collaborate with developers, quants, strategy writers, and risk managers to ensure proper test coverage.

- Communicate test results, issues, and recommendations clearly to both technical and business stakeholders.

- Lead test reviews, defect triage, and sign-off processes for go-live readiness.

Key Skills and Experience :

- Strong understanding of financial markets : equities (cash), futures & options (F&O), order types, and market microstructure.

- Knowledge of algorithmic trading strategies (e.g., arbitrage, market making, spread trading).

- Strong ability to identify and document algorithmic risks (e.g., runaway orders, latency races, stale market data).

- Familiarity with back-testing frameworks and historical market data validation.

- Excellent communication skills to coordinate between quants, developers, and risk teams.

Preferred Qualifications :

- 2-3 years of experience in trading technology QA/testing, preferably in algorithmic or electronic trading environments.

- Prior experience in strategy validation, quant research testing, or model verification.

- Knowledge of regulatory requirements for algo trading (e.g., SEBI).

- Experience leading a team of testers and managing the QA lifecycle.