Nikhil Mahanandani
@nikhilmahanandani
Credit Risk & Underwriting Analyst using SQL/Python to drive underwriting strategy, portfolio insights, and measurable savings.
What I'm looking for
I’m a data-driven Credit Risk & Underwriting Analyst with 4+ years of experience across American Express and Morgan Stanley. I focus on SQL/Python-based portfolio analytics, underwriting strategy design, and risk reporting to turn data into better authorization, controls, and decisioning.
At American Express, I delivered over $2M in projected annual savings and $18M+ in incremental spend through data-led credit and authorization strategy redesigns. I’ve also built leadership dashboards in Power BI powered by SQL to track portfolio KPIs, underwriting funnel performance, delinquency trends, and early warning indicators.
I enjoy partnering with cross-functional and global stakeholders to modernize rules and processes, including leading migration of the India Commercial underwriting platform. I’m now seeking a remote data/risk analytics role with an international organization.
Experience
Work history, roles, and key accomplishments
Used SQL and Python to identify stress in the logistics portfolio and implemented leverage-based controls, reducing exposure from 23% to 5% and projecting $500K in annual savings. Led underwriting platform migration and rule modernization, and redesigned GST-based credit line assignment and authorization strategies to increase credit lines by 15% and unlock $18M in incremental annualized spend whi
Strengthened SME underwriting by introducing entity-specific bureau thresholds, projecting $200K in annual savings. Revamped underwriting criteria for low-revenue cohorts and redesigned GST-based credit line assignment, reducing approvals from 85% to 70% (projecting $300K in annual delinquency savings) and enabling 15% higher credit lines that unlocked $18M in incremental annualized spend.
Assessed the feasibility of deploying short-term probability risk scores within authorization strategies by analyzing portfolio behavior, default trends, and operational impact across segments. Evaluated a score-conversion framework and proposed data-driven, market-specific authorization and risk control strategies to improve default capture in stressed customer cohorts while balancing customer ex
Performed daily validation and substantiation of P&L data between Risk and reporting systems to ensure data integrity for downstream reporting. Prepared daily P&L reports for business unit heads and finance managers and supported finance-related projects, process enhancements, and UAT testing.
Education
Degrees, certifications, and relevant coursework
SBM, NMIMS Mumbai
Master of Business Administration (Finance), Finance
Grade: CGPA: 3.47 / 4.0
Completed an MBA in Finance at SBM, NMIMS Mumbai in 2024. Earned CGPA 3.47/4.0.
NMCCE, University of Mumbai
Bachelor of Accounting & Finance, Accounting & Finance
Grade: CGPA: 9.76 / 10
Completed BAF (Bachelor of Accounting & Finance) at NMCCE, University of Mumbai in 2020. Earned CGPA 9.76/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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