Rutuja Kurle

Product Manager

Jersey City, New Jersey, United States10 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Reduced decision latency from hours to minutes.
Improved alert accuracy by 40% in security operations.
Developed scalable risk analytics capabilities in finance.

Stackforce AI infers this person is a Fintech and Cybersecurity expert with strong product management and data analytics skills.

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Skills

Core Skills

Product ManagementRisk AnalyticsUser ExperienceSoftware Engineering

Other Skills

SQLPythonTableauAWS GlueDatabricksFigmaJiraAlteryxWorkflow AutomationLLM-based summarizationData quality rulesML-based anomaly detectionUser behavior analysisPlatform usabilityCI/CD automation

About

Product Manager with experience building and scaling data-intensive products in complex environments where correctness, reliability, and speed must coexist. I build products that help financial institutions trust their data, quantify risk faster, and make high-stakes decisions with confidence. At JPMorgan Chase, I’ve led initiatives across risk analytics automation, data lineage, and platform usability — reducing decision latency from hours to minutes and scaling adoption in executive risk forums. Particularly interested in companies that build scalable and secure products at the intersection of finance, risk and AI.

Experience

10 yrs 11 mos

Total Experience

2 yrs 9 mos

Average Tenure

4 yrs 1 mo

Current Experience

Jpmorgan chase & co.

Associate

May 2022 – Present · 4 yrs 1 mo · Jersey City, NJ

Driving data-first product strategy and building scalable risk analytics capabilities across Market, Credit & ESG Risk with a focus in Asset and Wealth management function.
Led discovery and delivery of a risk analytics workflow automation initiative, reducing incident-to-PnL impact analysis from 3 hours to 30 minutes by introducing LLM-based summarization to accelerate executive decision-making during risk events.
Identified systemic issues in risk analytics reconciliation and drove the adoption of business data-quality rules and ML-based anomaly detection, reducing manual reconciliation effort by approximately 15 hours per week while improving data trust.
Redesigned the platform’s data export experience by analyzing user behavior during manual workflows, resulting in a 3× increase in platform usage during risk committee and governance sessions.
Implemented end-to-end data lineage across systems of record and market data sources, improving transparency, strengthening stakeholder trust, and accelerating impact analysis across upstream and downstream systems.
Tech & Product Stack: SQL, Python, Tableau, AWS Glue, Databricks, Figma, Jira, Alteryx, Workflow Automation

SQLPythonTableauAWS GlueDatabricksFigma+5

Career break

Relocation

Jun 2021 – Apr 2022 · 10 mos · New Jersey

Cyware labs

Senior Software Engineer

Nov 2018 – May 2021 · 2 yrs 6 mos

Senior Software Engineer working closely with product and security operations teams to translate complex, high-pressure workflows into scalable platform capabilities used by enterprise customers.
Led the design and development of a security operations playbook module, partnering with SecOps users to operationalize incident response workflows at enterprise scale and reducing manual scripting effort from weeks to hours.
Identified reliability and deployment bottlenecks impacting customer trust during rapid growth and drove improvements through CI/CD automation, improving release velocity by 30% while increasing system stability.
Designed and implemented threat data cleaning and enrichment workflows in Python, improving alert accuracy by 40% and enabling security teams to prioritize high-confidence incidents more effectively.

Craftsvilla

Software Engineer

May 2015 – Dec 2018 · 3 yrs 7 mos · Mumbai, Maharashtra, India · On-site

Developed cataloging solutions like mobile app with camera integration and voice-to-text input reducing onboarding time from 2 weeks to 4 days.
Embedded analytics in webpage to monitor conversion rates that increased marketing effectiveness by 30%.
Redesigned inventory and pricing tools to simplify daily operations and improve vendor retention across key demographics.