Summary
Overview
Work History
Education
Skills
Websites
Certification
Accomplishments
Timeline
Generic
Sakshi Jolly

Sakshi Jolly

Assistant Manager
New Delhi

Summary

Highly skilled Fraud Analytics professional with over 7 years of experience in Data Analytics, Fraud Prevention, and BI Project Implementation, currently serving in Barclays’ Fraud Analytics team. Adept at leveraging a strong combination of technical and business expertise in SQL, Excel, SAS Base, SAS EG, SAS EFM, SAS Macros, Tableau, and Alteryx to drive data-driven insights and optimize banking operations. Proven ability to design, develop, and implement advanced analytics solutions that mitigate risk and enhance business performance.

Overview

2025
2025
years of professional experience
3
3
Certifications

Work History

Assistant Manager

Barclays
03.2023 - Current
  • CPP Model Development for Fraud Prevention: Designed and implemented a comprehensive Card Present Payments (CPP) Model for the German market, identifying compromised merchants and high-risk card numbers. Enabled proactive fraud prevention by generating actionable lists for card reissuance, significantly mitigating potential fraud exposure.
  • Cross-Portfolio Fraud Analytics: Leveraged expertise across UK, US, and German portfolios to tailor fraud detection strategies, ensuring market-specific insights and robust risk management across diverse geographies.
  • Data Migration and Platform Transition Projects: Led end-to-end migration projects involving platform shifts, conducting rigorous testing, code enhancement, source updates, and optimization of joining conditions and functions, resulting in seamless integration and improved analytical capabilities.
  • Global Fraud Reporting: Developed and delivered Summary Loss and Investigations reports for Global Internal Fraud, providing critical insights into fraud patterns and supporting strategic decisions for loss prevention.
  • Advanced Data Analysis and Risk Assessment: Performed in-depth analysis and research on large-scale fraud data to identify trends, assess vulnerabilities, and contribute to the design of effective fraud mitigation strategies.
  • Team Engagement and Wellness Initiatives: Spearheaded 4-5 themed events since March 2024 as part of the Fraud Analytics Engagement team, organizing activities that foster collaboration, provide stress relief, and boost morale for over 50 colleagues in the Noida office, resulting in improved focus and productivity.

Consultant

Ernst & Young Pvt Ltd
4 2021 - 02.2023
  • Fraud Detection and Prevention: Monitor customer transactions to identify potential fraudulent activities, deploying fraud rules regularly within the Enterprise Fraud Management system to maintain effective fraud prevention.
  • Blacklist Management: Analyze transaction patterns to identify blacklisted device IDs, assess associated risks, and recommend next steps, enhancing the overall accuracy of fraud detection.
  • Team Leadership and Strategic Direction: Set priorities and provide direction for the team, aligning efforts with business objectives to maximize the impact of fraud prevention initiatives.
  • Collaboration with Key Stakeholders: Engage closely with internal fraud teams, business partners, and external vendors to optimize fraud detection tools, support model development, monitor performance, and facilitate successful implementation of strategies.
  • Fraud Strategy Implementation: Lead the execution of various fraud strategies and oversee the deployment of detection tools, ensuring alignment with organizational goals and regulatory standards.
  • Fraud Analysis for Decision Support: Deliver comprehensive fraud analysis to support strategic decision-making, empowering the company with data-driven insights.
  • Data Management and SAS Programming: Develop SAS programs to process raw data from multiple databases, applying complex business logic to generate curated datasets for business reporting and informed decision-making.

Business Analyst

EXL Service
09.2020 - 04.2021
  • Retail Campaign Analysis for Multipurpose Card Upgrades: Conducted a retail campaign to identify potential customer upgrades by analyzing spending and transaction data, using decile segmentation (PROC RANK) to categorize customer groups effectively.
  • Advanced SAS Techniques for Data Processing: Applied a range of SAS techniques—including PROC STDIZE, PROC SORT, SAS/SQL merge, and BY data step processing—to ensure efficient data preparation and segmentation.
  • Target Customer Identification: Used generated reports to identify target customers based on client budget constraints, optimizing campaign reach and impact.
  • Multi-Tool Data Reporting and Visualization: Utilized SAS, SQL, Tableau, and Alteryx for report development, in-depth analysis, data visualization, report automation, and distribution, enhancing data accessibility for stakeholders.
  • Process Documentation and SOP Maintenance: Developed and maintained thorough documentation for all processes, including SOPs and code inventories, to support efficient project handovers and adherence to best practices.
  • Independent Report Design and Development: Spearheaded the design, development, and enhancement of complex business reports, ensuring high accuracy and on-time delivery aligned with project timelines.

Analyst

Guardian Life
06.2019 - 09.2020
  • Automation of Data Extraction Processes: Developed multiple Alteryx workflows to automate daily data extraction and refresh processes, streamlining data availability and reducing manual effort.
  • SQL Server and Hive/Presto Integration: Collaborated within SQL Server Management Studio to establish secure and efficient connections with Hive/Presto environments, ensuring seamless data accessibility.
  • Customer Segmentation and Migration Analysis: Conducted customer profiling and segmentation using demographic and transactional data, identifying key segments for migration by analyzing common variables and merging datasets effectively.
  • Data-Driven Customer Profiling: Utilized in-depth analysis of demographic and transactional data to create detailed customer profiles, enhancing targeted marketing and strategic planning.

Associate Analyst

5ONE Analytics
06.2017 - 06.2019
  • Complex Business Data Analysis: Translate business requirements into actionable technical deliverables, supporting advanced data analysis needs for strategic decision-making.
  • Data Warehouse Utilization: Leverage data warehouse and various data sources to efficiently address business queries, providing timely and accurate insights.
  • Business Rule Implementation: Collaborate closely with business users to understand and implement their business rules, utilizing a combination of tools to ensure effective and tailored solutions.

Education

Bachelor of Commerce -

Jagran College of Arts, Science and Commerce

Skills

Fraud Analytics

Business Analyst

SAS EG

SAS EFM

SAS Base

Tableau

Alteryx

Data Exploration

SQL

Excel

Model Implementation

Market Segmentation

Data Analysis

Data Cleansing

Data Quality

Data Management

Linear Regression

Logistic Regression

Learning Python

Websites

Certification

SAS Base Certified Programmer

Accomplishments

EY Exceptional Award, 08/01/22

Timeline

Assistant Manager

Barclays
03.2023 - Current

Business Analyst

EXL Service
09.2020 - 04.2021

Analyst

Guardian Life
06.2019 - 09.2020

Associate Analyst

5ONE Analytics
06.2017 - 06.2019

Consultant

Ernst & Young Pvt Ltd
4 2021 - 02.2023

Bachelor of Commerce -

Jagran College of Arts, Science and Commerce

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Sakshi JollyAssistant Manager