Summary
Overview
Work History
Education
Skills
Timeline
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Nishant Bakshi

Nishant Bakshi

Noida

Summary

A versatile professional with experience in Quantitative Analytics, Data Engineering, Machine Learning, Statistical Modeling, Python, Risk Modeling and Global Team Management. Strong expertise in leading global teams, building optimized data pipelines, delivering end-to-end model deployment, and applying Machine Learning, AI, and Statistical Modeling for risk analytics and financial modeling. Proven track record in managing Agile software development, designing data governance pipelines, and enhancing quantitative models and scenario analysis for risk and capital planning.

Overview

14
14
years of professional experience

Work History

VP (Quantitative Analytics)

Barclays
07.2019 - Current
  • Led cross-functional teams to deliver scalable model execution frameworks, integrating machine learning, regulatory models, and robust data pipelines using Python and modern software architecture.
  • Built and managed global teams, successfully establishing a high-performing model delivery group in Noida, driving end-to-end ownership of analytics tools and model packaging solutions.
  • Designed and deployed data-driven applications, including REST API integrations, data validation pipelines, and automated control frameworks, ensuring regulatory compliance and data integrity.
  • Architected modular frameworks for dependency management, workflow orchestration, and model production, enabling seamless execution of complex quantitative and risk models.
  • Implemented enterprise-grade data control and governance processes, aligning with model risk management (MRM), regulatory mandates, and model validation standards across geographies.
  • Collaborated with global stakeholders to streamline delivery pipelines, improve model package deployment workflows, and enhance communication between technology, risk, and business units.
  • Optimized model execution performance by leveraging graph data structures, scalable Python solutions, and advanced error-handling mechanisms, resulting in enhanced reliability and faster deployment cycles.

AVP (Application Developer)

JP Morgan Chase
01.2016 - 06.2019
  • Developed end-to-end Python-based applications and analytical tools to support capital management, risk assessment, and regulatory reporting aligned with Basel III compliance.
  • Engineered scalable frameworks and modular solutions for Risk-Weighted Asset (RWA) calculations across Credit, Market, and Operational Risk, improving capital adequacy assessments and data accuracy.
  • Applied advanced data analytics techniques using Pandas, NumPy, and implemented machine learning models leveraging Scikit-learn to automate and optimize business reporting processes.
  • Designed user-centric interfaces and visualization modules to streamline interaction with complex risk models, enhancing decision support tools for business and risk teams.
  • Collaborated with cross-functional teams to integrate data pipelines, regulatory controls, and performance optimization, ensuring robust and efficient capital analytics solutions.

Senior Software Engineer

Ericsson R&D
10.2014 - 12.2015
  • Led a high-performing team of 6 developers in delivering innovative Python-based tools and enterprise applications, driving process automation and operational efficiency.
  • Mentored and trained new hires in Python development, best coding practices, and application design, strengthening team capability and accelerating project delivery.
  • Collaborated with cross-functional teams to build and deploy scalable software solutions, leveraging Agile methodologies, software engineering principles, and continuous integration workflows.

Software Development Engineer in Test

McAfee
05.2011 - 10.2014
  • Improved software quality by designing and implementing automated testing frameworks.
  • Developed custom scripts to automate manual test cases, reducing time spent on routine tasks significantly.
  • Implemented performance tests to analyze system bottlenecks and optimize resource utilization under heavy loads.

Education

Executive MBA -

Indian Institute of Management
03.2025

Bachelor of Technology - undefined

Madan Mohan Malaviya Engineering College
09.2014

Skills

Project Management

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Timeline

VP (Quantitative Analytics)

Barclays
07.2019 - Current

AVP (Application Developer)

JP Morgan Chase
01.2016 - 06.2019

Senior Software Engineer

Ericsson R&D
10.2014 - 12.2015

Software Development Engineer in Test

McAfee
05.2011 - 10.2014

Bachelor of Technology - undefined

Madan Mohan Malaviya Engineering College

Executive MBA -

Indian Institute of Management

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