Ashish M.

About Ashish M.

Experienced Business Analyst with a 6+ year track record in global industries, adept at requirements elicitation, business process mapping, and operations in diverse multinational and multi-vendor settings. Experienced in Banking Industry groups including Credit Risk, Market and Operational Risk Banking that involve knowledge in CCAR, Basel, Dodd Frank, software requirement analysis, process modeling, and quality assurance. Demonstrated proficiency in Security Data and Financial Analysis, ALM, API Solution, Basel II & Accord for Compliance/Risk Management, CCAR, GAAP, and Dodd-Frank for financial regulatory compliance. Possesses fundamental knowledge of Python. Proven track record in successfully delivering projects of varying scales using SDLC, Agile, and Waterfall methodologies.

Experience

1. Senior Business Analyst

   Credit Suisse

   Jul 2022 — Present

   Part of the Global Liquidity Reporting team with primary focus on daily reporting and analytics, including Global Liquidity Sources, FR 2052a Complex Institution Liquidity Monitoring Report, US Liquidity Coverage Ratio (LCR), and the Net Stable Funding Ratio (NSFR) Performed reporting, monitoring, and analytics such as variance analysis, investigation of data quality issues, reporting logic issues, review of LCR variance and LCR ratio drivers. Played a key role in successful implementation of 6G go live Identified and remediated production related issues, UAT, data gap analysis, data related issue remediation of manual and automated data Linked data lineage to data quality and business glossary work within the overall data governance program Developed and executed complex queries using SQL to perform data exploration and data transformation tasks efficiently Spearheaded the effort to produce FFIEC 101, Pillar and 2052a Liquidity report. Responsible for identifying and analyzing various wires and ACH payment initiations API\'s that send payment transactions to the payment processing system such as Sei, money transfer system and various does. The analysis included all outbound and inbound payment flows for domestic and international payments Enriched user stories in JIRA using the INVEST model, emphasizing business value and incorporating acceptance criteria, UI prototypes, and test scenarios Conducted thorough data validation and cleansing to ensure data accuracy and integrity for downstream analysis. Facilitated and managed meeting sessions with committee of SMEs from various business areas including Mortgage Servicing, Loan IQ Monitoring and Asset Management Provided detailed data mapping between loan IQ and other core applications Analyzed business processes and created business requirements definitions for new loan IQ functionality to accommodate specific regulatory and business requirements

Education

• Queensborough Community College of The City University of New York (CUNY)

  Associate's degree, Computer and Information Systems Security/Information Assurance

  2016 — 2018

• John Jay College (CUNY)

  Bachelor's degree, Computer and Information Systems Security/Information Assurance

  2019 — 2020