Mayank Sharma

Partnered with operations, compliance and risk team to define mule
detection metrics and standardize key mule-related definitions.
Used SQL, Excel and python to extract and reconcile data from
multiple system and automate recurring reports and enabling faster
visibility of emerging mule trends.
Prepared and presented monthly analytics packs to senior
management on mule trends, typologies, control gaps and
improvement opportunities.
Worked on data gathering and organizing, ensuring high level of data
accuracy, integrity and data management from different resources.
Analyzing Indicators & finding the trends of pricing forecasting pricing optimizing profit

Regularly reviewed fraud detection models, assessing performance
and identifying areas for improvement to enhance the accuracy of
fraud risk predictions.
Ensured compliance with regulatory requirements while managing
data integrity.
Working on Payments E2E journey to minimize the cost to bank to
Send an alert message to customer for fraudulent transaction.

Model Monitoring - Providing Insight and Working behavior of
forecasted model to detect the fraudulent transaction for Cards and
Payments by analyzing statistical metrics like PSI, GINI & VDR along
with additional analyses for different markets like UK, Canada, Mexico
etc. for fraud, scam.
BPR (Business Performance Review) - Working on monthly
performance for UK and MENAT (Middle East) business performance
by creating steerco pack to detect performance for categories like
Card, Payments, 1st Party Lending Fraud Loss etc.
F27 Project - Working on the performance of digital journey of
payments for UK Red Brand to monitor and providing the suggestions
for mobile Provisioning, Registration and Recovery journey.
Stakeholder and Relationship Management with executive leaders
based in the UK.
related the
Prepared the trends based on the
Software used: R, Excel
Data collection of disabled children for
Autism.
Converted data into data for

Providing strategic input on various industries by extensively
assessing market.
Successfully managed a team of 7-8 individuals, overseeing daily
operations and fostering efficient collaboration to achieve
organizational goals.
Led team projects, driving results and consistently exceeding
performance targets.
Built R algorithm to load data from mongo DB and code for analyses
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