SINDURI VALLERU
Summary
Fraud Data Strategy and Analytics leader with 17 years of experience in developing and executing business solutions and fraud prevention strategies. Expertise in managing analytics throughout the fraud lifecycle, enhancing operational efficiency and effectiveness. Proven track record in driving strategic initiatives that mitigate risks associated with fraudulent activities. Strong focus on promoting continuous improvement and collaboration within teams to achieve organizational goals.
Overview
17
17
years of professional experience
Work History
Fraud Data Analyst Lead
City National Bank
03.2024 - Current
- Ownership of fraud strategy and analytics for cards, checks, Zelle, Onboarding and deposits.
- Led check fraud analytics, increasing coverage from 50% to 79%, saving $1M monthly, and reducing FP's by 65%.
- Developed a strategy for first-party fraud, with a focus on new account onboarding, early payment default, and credit bust-outs.
- Mentored analysts by providing actionable insights, guiding career development, and facilitating learning.
- Formulated strategies to enhance card fraud coverage while minimizing customer impact.
- Collaborated with IT and business process owners to drive innovations in risk management.
- Partnered with vendors to integrate new data elements and develop in-house data intelligence.
- Improve the process, and work with the data and reporting team to provide the dashboard to boost operation and investigation efficiency.
Fraud Data Scientist/Analyst
Morgan Stanley
07.2021 - 02.2024
- Led analytics and controls for Checks, ACH, Zelle, Wires, Stock Plan business, and Call center transactions.
- Defined key metrics and KPIs with team to monitor control performance and recertify rules.
- Presented quarterly metrics to senior management and risk team as part of governance processes.
- Utilized SQL and Python to extract and analyze large datasets from various sources.
- Developed fraud coverage rules for new account and check fraud, preventing approximately 3 million fraudulent activities annually.
- Optimized fraud detection rules, reducing alert volume by six to seven full-time equivalents in one year.
- Implemented monitoring for vendor models using PSI and KS Test; generated quarterly reports for model recertification.
- Managed two data analysts, emphasizing performance management and strategic vision.
Data Engineer/Analyst
Morgan Stanley
07.2018 - 06.2021
- Collaborated across diverse operational teams, leveraging data analytics to address business challenges.
- Led the implementation of a Supervisory solution, empowering self-service capabilities and conducting data analysis to minimize manual review of alerts.
- Developed ISG Payment rules to monitor anomalous behavior and created data visualization in tableau to analyze the trends and patterns.
- Conducted in-depth analysis of data utilized in the FA anomaly model (Kmean), offering insights into model instability.
- Formulated Key Performance Indicators (KPIs) to gauge model stability and automated the process in Python for quarterly assessments.
- Successfully optimized the Alert rate of Zelle achieving a 30% reduction while maximizing Fraud coverage to 80%.
- Collaborated on several high-profile events with operational leadership to do the analysis and set up controls.
Data Engineer/Modeler
Morgan Stanley
01.2017 - 06.2018
- Designed and developed data onboarding and integration, with a focus on data analysis for Cyber Payment Fraud.
- Independently collaborated with Implementation/Integration teams, Engineering, Support teams, and data providers to identify necessary data sources and fields.
- Orchestrated automation through Autosys on Hadoop and vendor software integration involving Artificial Intelligence and Machine Learning models.
- Assumed responsibility for Fraud Technology Governance and Delivery across the Fraud Platform and provided mentorship to team members.
- Conducted extensive research on tools, functionality, and setup requirements, facilitating self-service analytics through Zeppelin and Tableau.
- Developed domain object tables using Scala Spark for Tableau reporting and generated reports to support critical business processes.
- Conducted in-depth analysis of input and output from Unsupervised(Brighterion) models, deciphering anomalous patterns in the data to enhance fraud detection capabilities.
Data Engineer
Morgan Stanley
06.2013 - 12.2016
- Accomplished the successful development and delivery of the Total Revenue project for Business Management Dashboard (BMD) applications, overseeing the management of books of business and branch operations.
- Faced the challenges of coordinating with 10-15 systems and teams, handling sensitive and newly exposed data.Played a key role in the redesign and creation of a new data model for BMR.
- Assumed a pivotal role in the project, taking charge of database development, providing JIRA support, managing month-end processes, and offering production support.
- Led the redesign of the monthly batch process, implementing parallel processing.This involved a thorough analysis of over 30 stored procedures and 40 tables to determine dependencies, resulting in a substantial reduction of batch processing times from 8 hours to a mere 2 hours.
BI Developer
Morgan Stanley
02.2011 - 05.2013
- Developed TDR (Table Driven Reporting) design for reporting financial component parameters that aided Cognos performance (+30%) and decreased IT development support by half.
- Created business logic data models and tables that eliminated development changes to reports and made the reporting queries more efficient.
- Orchestrated the design and management of the Single Balance Sheet (SBS) reporting system, providing a unified platform for firm balance sheet reporting.
- Innovated the report retrieval process for the UI, implementing XML requests and responses from stored procedures using dynamic SQL to enhance efficiency.
Data Analyst
Morgan Stanley
07.2008 - 01.2011
- Successfully developed Key Performance Indicators (KPIs) for the cost of ownership (TCO) application.
- Developed SSRS reports to accurately capture and visualize the $4.2 billion IT costs, covering IT hardware/infrastructure, software license costs, and manpower.
- Led the upgrade and development efforts of the MSAS/Cognos BI reporting environment, enhancing the analysis of General Ledger (GL) expense balances.
- Implemented linked and detailed cube views that provided insights into allocated IT inventory and other expenses.
Education
Data Science Certification -
Harvard Extension School
12.2021
Masters in Electronics and Computer Science -
State University of New York
12.2007
Skills
- Fraud Analytics
- Snowflake
- SQL
- Python
- R
- Excel
- Tableau
- Dataiku
- TensorFlow
- Pytorch
- Keras
- Regression Model
- Hypothesis testing
- Feature Engineering
- Data Cleaning
- Data Transformation
- Fraud analytics
- Team leadership
- Problem-solving
- Gap analysis
- Strong work ethic
Timeline
Fraud Data Analyst Lead
City National Bank
03.2024 - Current
Fraud Data Scientist/Analyst
Morgan Stanley
07.2021 - 02.2024
Data Engineer/Analyst
Morgan Stanley
07.2018 - 06.2021
Data Engineer/Modeler
Morgan Stanley
01.2017 - 06.2018
Data Engineer
Morgan Stanley
06.2013 - 12.2016
BI Developer
Morgan Stanley
02.2011 - 05.2013
Data Analyst
Morgan Stanley
07.2008 - 01.2011
Data Science Certification -
Harvard Extension School
Masters in Electronics and Computer Science -
State University of New York
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