Andrew Melvin

Senior Enterprise Underwriter @Checkout.com

Indianapolis, IN, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Feb 2022 — Present

Senior Enterprise Underwriter @Checkout.com

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Chicago, IN

Assess business model and financial risks associated with applications, focusing on large enterprise and strategic merchants.• Collaborate across different departments and geographies to comply with internal and external regulations to secure a path to onboard clients.• Consult with applying merchants on changes necessary to meet risk appetite of Checkout.com, its related parties, and the card networks.Accomplishments- Exceeded or met all department standard measures related to response timeliness and approval rates- Designed an updated financial spreading template, year over year comparison table, and grading logic which was released to the global underwriting organization- Created an AI powered protocol for expediting compliance reviews of businesses requiring enhanced due diligence- Established global minimum acceptance criteria for: supplement/nutraceutical businesses and negative option billing merchants- Produced a global playbook to use in assessing applications from NFT minting merchants- SME for applying merchants in game of skill, multi-level-marketing, and health supplement verticals- Underwriting POC for Negative Option Billing reviews for scheme compliance- Author of Monthly Risk Ops Gazette delivered to 200+ colleagues across the Risk Operations department.

EDUCATION

N/A

Learning @ Morning Brew

Business Administration and Management, General

2011 — 2015

Indiana University - Kelley School of Business

Bachelor of Science (BS), Finance & Accounting

SKILLS

Credit AnalysisThinking on My FeetEvent PlanningBuilding RelationshipsCreative SolutionsMicrosoft OfficeAnalysisMicrosoft ExcelPublic SpeakingTeamworkRisk Management

ABOUT ANDREW MELVIN

Adaptive problem solver who enjoys building and continually learning. Expertise in financial statement analysis and due diligence, with experience creating credit risk models across a range of use cases. Proficient in SQL. Actively learning Spanish (B1) and German (B1). Interested in critical thinking and effective communication.

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