Nitesh Kumar — CEO

Results-driven technology leader with 8+ years of experience in quantitative research, algorithmic trading, and financial engineering, bridging the worlds of real-time trading systems, advanced analytics, and scalable software engineering. Currently serving as Vice President – Quantitative Research (QR) Strats, Electronic Trading at Morgan Stanley, where I lead a team of 15+ engineers and quants designing and deploying execution algorithms, smart order routing systems, and predictive trading models across global markets. I have spearheaded initiatives that combine quantitative research with large-scale engineering, delivering platforms and analytics that drive measurable business outcomes: Execution algorithms & Smart Order Routing (VWAP, TWAP, Implementation Shortfall, Close) for equity and derivatives markets Predictive models for index analysis, trade crowding, corporate actions, and alpha attribution Portfolio construction & wealth analytics tools for UHNW clients, integrating backward/forward-looking analytics Private equity analysis platforms optimizing commitments and investment planning Risk & portfolio optimization frameworks leveraging Monte Carlo simulations and quantitative modeling Core expertise: Programming: Python, C++, C#, MATLAB, Q/KDB+, SQL, NoSQL, TypeScript, Angular Big Data & Cloud: Apache Spark, Kafka, Airflow, Azure, AWS, Docker, Kubernetes Finance & Trading: Algorithmic Trading, Risk Management, Portfolio Optimization, Derivatives, Futures Leadership: High-performance team building, cross-functional product strategy, mentorship Currently pursuing an MSc in Financial Engineering at WorldQuant University (2025, ongoing) and a CFA Level I candidate (2024), further strengthening my foundation in quantitative finance and investment management. I am passionate about building high-impact teams, mentoring future leaders, and delivering technology that enables firms to compete at scale in the rapidly evolving financial landscape.

Stackforce AI infers this person is a Fintech expert specializing in quantitative research and algorithmic trading.

Location: Mumbai, Maharashtra, India

Experience: 12 yrs 7 mos

Skills

Algorithmic Trading
Quantitative Research
Portfolio Optimization
Risk Management
Software Development

Career Highlights

Led a team of 15+ engineers and quants.
Developed advanced execution algorithms for global markets.
Pursuing MSc in Financial Engineering and CFA Level I.

Work Experience

Morgan Stanley

Senior Manager (3 yrs 8 mos)

Senior Associate (1 yr)

Associate (1 yr)

Technology Analyst (5 mos)

Vice President (11 yrs 2 mos)

NIT TRICHY Golden Jubilee

Head Marketing and Fund Raising (5 mos)

Pragyan

Marketing Manager (1 yr 1 mo)

Education

Master of Science - MS at WorldQuant University

Bachelor’s Degree at National Institute of Technology, Tiruchirappalli

High School at D A V Public School, BSEB, Patna

10th Board at B.D. Public School, Patna

Nitesh Kumar

CEO

Mumbai, Maharashtra, India12 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led a team of 15+ engineers and quants.
Developed advanced execution algorithms for global markets.
Pursuing MSc in Financial Engineering and CFA Level I.

Stackforce AI infers this person is a Fintech expert specializing in quantitative research and algorithmic trading.

Contact

Skills

Core Skills

Algorithmic TradingQuantitative ResearchPortfolio OptimizationRisk ManagementSoftware Development

Other Skills

AWSAgile MethodologiesAirflowAngularApache SparkAzureCC (Programming Language)C#C++Cross-functional product strategyData AnalysisData AnalyticsData ScienceDerivatives

About

Experience

Morgan stanley

5 roles

Senior Manager

Promoted

Apr 2020 – Dec 2023 · 3 yrs 8 mos

Agile MethodologiesSoftware DevelopmentPython (Programming Language)ProgrammingTradingProgramming Languages

Senior Associate

Jan 2017 – Jan 2018 · 1 yr

Part of Financial Planning Team in the Investment Products and Services PAG (practice area group). We are responsible for performing analytic and providing software solution for the :
1. Private Wealth Management Advisers in Morgan Stanley.
2. Retirement Planning for the Morgan Stanley Clients (Goal Based Wealth Management)
3. Digital Strategy / Robo-Advisers for advise seeking investors

Agile MethodologiesSoftware DevelopmentPython (Programming Language)ProgrammingC (Programming Language)Programming Languages

Associate

Promoted

Jan 2016 – Jan 2017 · 1 yr

Part of Financial Planning Team in the Investment Products and Services PAG (practice area group). We are responsible for performing analytic and providing software solution for the :
1. Private Wealth Management Advisers in Morgan Stanley.
2. Retirement Planning for the Morgan Stanley Clients
3. Digital Strategy / Robo-Advisers for advise seeking investors

Agile MethodologiesSoftware DevelopmentPython (Programming Language)ProgrammingC (Programming Language)Programming Languages

Technology Analyst

Aug 2015 – Jan 2016 · 5 mos

1. Got hand on experience on OS(Linux & Windows), Shell Programming, C, C++, Java, SOAP, REST, C#, Scala, Python, Concurrent Programming, Multi-threading Programming, Generics, Web-development etc
1. Successfully completed the three months long TAP(Technology Analyst Program).
2. Worked on Grad Project "Heimdall". Developed Business view to monitor processes withing an applications. It correlate patterns over multiple runs and intelligently identify potential issues.

Python (Programming Language)ProgrammingC (Programming Language)Programming Languages

Vice President

Jan 2015 – Present · 11 yrs 2 mos

Vice President – Quantitative Research (QR) Strats, Electronic Trading
Lead a high-performing team of engineers and quants, driving the end-to-end delivery of scalable equity trading models and real-time analytics platforms.
Specialized in trade crowding analysis, corporate actions, and index prediction to enhance strategy performance and market positioning.
Championed the development of advanced analytics and robust reporting frameworks to support trading operations, risk monitoring, and execution insights.

StatisticsData AnalyticsEquity TradingAlgorithmic TradingAgile MethodologiesQuantitative Research+16