N

Nishith Kumar

CEO

Mumbai, Maharashtra, India17 yrs 6 mos experience
Highly StableAI Enabled

Key Highlights

  • Led delivery of global Data and AI applications.
  • Built high-performing teams in Data Science and Engineering.
  • Expert in Machine Learning and quantitative analysis.
Stackforce AI infers this person is a Fintech leader with expertise in Data Science and AI-driven analytics.

Contact

Skills

Core Skills

Data ScienceProduct ManagementData Engineering

Other Skills

Cloud ComputingQuantitative AnalyticsGenerative AIMulti-agent SystemsData AnalyticsMachine LearningData StreamingLeadershipMicrosoft AzureKafkaTeam BuildingTeam LeadershipAlgo tradingcapital marketsDerivatives

About

Nishith is an experienced leader in Data & AI, GenAI, Data architecture and quantitative analysis domains, currently overseeing delivery of analytics data products and Agentic AI based workflows for a business with multi-trillion dollars in AUM. His earlier stints at UBS, Goldman Sachs and BAML as Product Manager in multiple finance domains have been highly successful and enriching with remarkable success in business value delivery and team management. The teams Nishith builds and leads thrive on innovation and excellence, consistently achieving successful strategic product deliveries. His hands-on contributions as a Data Science SME, particularly in Machine learning lifecycle and quantitative research/analysis, have fueled the development and productionizing of multiple advanced models, driving technological advancement and operational efficiency within the organizations he has worked with. Nishith loves problem solving, and even more so if it helps solve business challenges and deliver strategic value.

Experience

17 yrs 6 mos
Total Experience
3 yrs 1 mo
Average Tenure
1 yr 9 mos
Current Experience

Jpmorganchase

Executive Director

Sep 2024Present · 1 yr 9 mos · Mumbai Metropolitan Region · On-site

  • Regional Head of Data Science & Analytics - leading delivery of global Data, Generative AI and BI applications and models serving a business with multi-trillion dollar AUM. Managing a network of stakeholders from technology and business, aligning product roadmap with organizational priorities and accelerating business value creation. Actively scaling a team of top-talent data scientists and engineers.
Cloud ComputingProduct ManagementQuantitative AnalyticsGenerative AIMulti-agent SystemsData Science

Ubs

Director, Data Science & Engineering | AI/ML | Azure

Jul 2020Aug 2024 · 4 yrs 1 mo · Pune District, Maharashtra, India · On-site

  • Group CTO India Lead
  • Product Manager experienced in end-to-end Data products lifecycle management
  • Leading firmwide Machine Learning, Kafka Data streaming/governance, Data Engineering and Analytics initiatives
  • Building and leading high-performing teams with a track record of successful strategic product deliveries
  • Hands-on Data Science SME building and productionizing models using Machine Learning, NLP/Language Modeling and Deep Learning techniques
  • Regional CTO Lead in Technology Management forum.
Data AnalyticsGenerative AIData EngineeringMachine LearningData ScienceData Streaming+3

Goldman sachs

Vice President, Strats

Aug 2018Jun 2020 · 1 yr 10 mos · Bangalore

  • Data Science, BI and quant modeling
  • Quantitative Analysis
  • Post-trade TCA
  • Trade P&L/Unwind cost research

Credit suisse

AVP, Quantitative Research & Modeling

Jun 2014Jul 2018 · 4 yrs 1 mo · Mumbai Metropolitan Region

  • Data Science/Machine Learning
  • Quantitative Analysis & Modeling
  • Predictive Modeling in trading
  • Optimal Portfolio Analytics
  • Market Structure research
  • Transaction cost analysis/modeling

Morgan stanley

Quant Associate, Strats & Modeling

Jul 2012May 2014 · 1 yr 10 mos

  • CDS/CDO/Bonds Risk/P&L reporting
  • Credit Reporting automation
  • Broker ranking analytics
  • CVA modeling
  • Worked with senior London and NY strats and traders to setup risk and P&L analytics for various credit derivative products.

Merrill lynch

AVP

Jul 2008Jun 2012 · 3 yrs 11 mos · Mumbai, Maharashtra, India

  • Developed the Derivatives HFT platform for India
  • Pairs arbitrage trading strategy, spread trading engine for trading calendar spreads, Index baskets
  • Algorithmic strategies and middle office applications development
  • Middle Office and client reporting applications

Education

Indian Institute of Technology, Delhi

Integrated M. Tech. — Mathematics & Computing

Jan 2003Jan 2008

MITx Courses

MicroMasters — Statistics & Data Science

Jan 2020Jan 2021

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