Athithiya Raj
@athithiyaraj
Quantitative Data Engineer specializing in production-grade Python systems and data infrastructure.
What I'm looking for
I am a Quantitative Data Engineer with 4+ years of production experience, an IIT Hyderabad graduate, and current AVP in Quantitative Research at JPMorgan Chase. I design and ship production-grade Python codebases, optimize large-scale data pipelines, and build data integrations for wholesale credit risk.
My work focuses on Snowflake, Spark, scalable ETL/ELT, and ML-enabled tooling; I have delivered major runtime improvements for macroeconomic sensitivity workflows and automated LLM-based document extraction that saved thousands of manual review hours. I also lead data quality, governance, and feature-store efforts to support explainable AI and risk modeling.
I enjoy applying graph and RAG architectures to unstructured risk documents, mentoring engineers and interns, and operationalizing data systems that meet regulatory and business needs while accelerating AI-driven product development.
Experience
Work history, roles, and key accomplishments
Optimized MEV sensitivity workflows to cut computational time 300% for CCAR/CECL teams, built LLM-based extraction tools that saved ~4,000 manual review hours annually, and led integration of First Republic Bank portfolio into Wholesale Credit Risk pipelines.
Senior Data Engineer
Carelon Global Solutions
Jun 2021 - Sep 2024 (3 years 3 months)
Engineered and optimized Spark and Kafka ETL/ELT pipelines for large-scale structured and unstructured data, implemented data quality and governance for auditing and XAI requirements, and built ingestion systems supporting RAG applications.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Hyderabad
Bachelor of Technology, Engineering
2017 - 2021
Bachelor of Technology (B.Tech) in Engineering with coursework in Data Structures and Algorithms and Statistical Modelling; focused on data engineering and applied statistical methods.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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