Open to opportunities

ira bajpai

@irabajpai

I build quantitative data products for financial risk and portfolio decisions, transforming legacy frameworks into automated pipelines.

India

Message

What I'm looking for

I'm looking to build scalable data products and quantitative decision systems in financial services, applying Python, machine learning, and risk analytics to complex business problems.

At JPMorgan Chase, I lead analytical deep dives across large-scale financial and customer datasets and build Python pipelines that reduced processing time from hours to minutes. I also developed a quantitative framework for tracking Non-Interest Revenue and analyzed overdraft behavior using an LLM-based insight-generation engine.

Previously at American Express, I developed risk data products and big-data infrastructure for scalable credit and portfolio decisioning. I bring five years of financial-services experience spanning statistical modelling, machine learning, automated reporting, data ecosystems, and dashboards built with Tableau and Power BI.

Experience

Work history, roles, and key accomplishments

Current

QUANT ANALYTICS ASSOC -BUSINESS BANKING

Current

JPMorgan Chase & Co.

Oct 2025 - Present (10 months)

Led large-scale financial analytics projects, delivering strategic insights to senior leadership.
Automated legacy frameworks into Python pipelines, cutting processing time from hours to minutes.
Developed quantitative NIR methodologies across deposit products.
Analyzed customer behavior, including post-COVID overdraft trends, and built an API-based LLM insight engine

Python SQL Project Management Stakeholder Management Data Modeling Quantitative Analysis Quantitative Modeling Data Analysis LLM APIs LLM Integrations Automation Risk Modeling

SENIOR ASSOC-RISK PROD & DATA STRATEGY

American Express

Nov 2021 - Aug 2024 (2 years 9 months)

Partnered with Strategy teams to analyze customer behavior, portfolio performance and risk drivers
Led analytical data products and big-data infrastructure for scalable processing, automated monitoring and repeatable workflows.
Applied statistical modelling to identify risk drivers and behavioral trends, supporting data-driven credit decisioning

Python SQL Project Management Databricks Data Visualization Data Pipelines Data Analysis Product Strategy Data Products Big Data Technologies Enterprise Data Architecture CI CD Pipelines Statistical Modeling

Data Analyst

Posterity Consulting

Nov 2020 - Nov 2021 (1 year)

⬧ Built the organization’s entire data ecosystem, developing pipelines across extraction, transformation and analytical workflows.
⬧ Established data-quality and validation processes.
⬧ Automated Tableau and Power BI dashboards to deliver actionable business insights.

Education

Degrees, certifications, and relevant coursework

University of Glasgow

Master of Science, Financial Technology

2024 - 2025

Pursuing a Master's in Financial Technology with coursework in financial tech regulation, machine learning in finance, and big data analytics. Dissertation focused on designing a real-time Monte Carlo risk engine for fat-tailed VaR and Expected Shortfall estimation.