Priyanka Shah

Product Manager

New York City, New York, United States17 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Anti Money Laundering and Regulatory Compliance.
Proven track record in managing complex financial projects.
Strong analytical skills with advanced data analysis expertise.

Stackforce AI infers this person is a Fintech expert specializing in Anti Money Laundering and Business Analysis.

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Skills

Core Skills

Project ManagementBusiness AnalysisAnti Money LaunderingRisk Management

Other Skills

User Acceptance TestingData AnalyticsAgile MethodologiesSDLC ManagementRequirement Elicitation and AnalysisGap AnalysisData MappingData AnalysisTechnical Functional and Non-Functional DocumentationTest CasesBusiness Process ModelingUML DiagramsSQLClient OnboardingWorkflow Analysis

About

Lead Business Analyst with experience working in Capital Markets ( Investment Banking & Private Banking IT), Anti Money Laundering (AML), Product Technology domain managing end to end life cycle of projects, Regulatory Initiatives like FATCA, BSA (Bank Secrecy Act) 1970, Transaction Monitoring, Watch List Filtering and KYC/CDD systems. Direct experience with in Prime Brokerage division working on financial products like Equities, Options, Swaps and other Derivative products. Direct collaboration with external Clients, internal Sales and Trading teams, Collateral Processing team, Margin team, Securities Lending team and Risk team. Strong knowledge of Financial Products and Capital Markets. Hands on experience doing advanced data analysis using SQL, Excel, Tableau/Spotfire. Business Requirements Gathering, Data warehousing, Data Modeling, Evaluating Data Sources, Translating Requirements into Specifications, Application Design, Business Intelligence. Proficient in Technical and Business Writing, Business Process Flow, Business Process Modeling, Business Analysis and Testing various methodologies. In depth knowledge of Use Cases, Software Development Life Cycle (SDLC) processes, Object Oriented Analysis and Design (OOA/D), Agile methodology. Competent in Creating Unified Modeling Language (UML) diagrams such as Use Case Diagrams, Activity Diagrams, Class Diagrams, navigational flows, story boards, UI specifications and Sequence Diagrams.

Experience

17 yrs

Total Experience

5 yrs 8 mos

Average Tenure

11 yrs 3 mos

Current Experience

Nice actimize

AML Business Analyst

Mar 2013 – Mar 2015 · 2 yrs

Anti Money Laundering - Business Analyst
Working on regulatory/compliance project with multiple external clients (large financial institutions) to implement Actimize's:
# Currency Transaction Reporting (Bank Secrecy Act of 1970)
# CDD (Customer Due Diligence)
# Suspicious Activity/Transaction Monitoring
# Watch List Filtering Solutions.
Responsibilities Include:
SDLC Management
Requirement Elicitation and Analysis
Gap Analysis
Root Cause Analysis
Data Mapping
Data Analysis
Client Presentations and Demos
Technical Functional and Non-Functional Documentation
Test Cases, Unit and System Testing
Data Validation
Business Process Modeling
Workflow Analysis and Optimization
UML Diagrams
Project Planning and Estimation
Technologies : SQL, MS Office Suite, Visio, Tableau.

Anti Money LaunderingSDLC ManagementRequirement Elicitation and AnalysisGap AnalysisData MappingData Analysis+5

Cognizant

Business Analyst

Jun 2009 – Mar 2013 · 3 yrs 9 mos

Risk and Compliance, Client Onboarding
Designed a single risk management platform for strategic Global Know Your Customer and Anti Money Laundering application for Private Bank and International Private Bank line of business of a leading multi national bank. The application will provide a single look and feel for global customers across jurisdictions while also complying with regional data privacy laws
Responsible for defining the Entitlements for both front office (bankers, analysts, market managers) and back office users (risk management, quality check) and the visibility they have to access (edit, read only) client data in a KYC ticket in different stages of the workflow
Defined the rules of money laundering risk rating engine for new clients and while periodic review of existing clients based on the customer profile, geography, type of accounts and products in use
Interfaced with various vertical business users in Products and Platform, Operations, Bankers in Hong Kong, Glasgow, New York and Delaware and multiple technology teams onsite and offshore to gather requirements and analyze current workflow and identify gaps
Identified data sources and required data needed to onboard new clients.
Increased efficiency by redesigning workflow
Integrated existing inflight Know Your Customer tickets from the old platform to the new one mapping the response to the existing set of questions to the new set of updated Anti Money Laundering Compliance questions
Consolidated documents and other artifacts stored in different repositories across Latin America and the US as part of Know Your Customer workflow into a centrally managed repository. Successfully completed 65,000 documents in the first phase
Interfaced with various workflow teams to manage access to different stages of KYC workflow via banker teams and workflow teams using functional entitlements