Summary
Overview
Work History
Education
Skills
Websites
Certification
Timeline
Generic
Niranjan Appaji

Niranjan Appaji

Singapore

Summary

Experienced Data Analytics professional with over 11 years in the Banking industry, specializing in AML, Conduct, and Fraud Analytics. Proficient in utilizing Data Science, Machine Learning, and AI to enhance risk management, fraud detection, and regulatory compliance. Dedicated to developing data-driven solutions for complex financial challenges.

Overview

12
12
years of professional experience
1
1
Certification

Work History

Senior Data Analytics Specialist

United Overseas Bank (UOB)
03.2023 - Current
  • Led the development of an automated AML risk mitigation system targeting six critical risk scenarios in customer exit workflows, reducing processing time from several days to hours and boosting operational efficiency by over 80%.
  • Designed and implemented a real-time Money Mule Surveillance Dashboard using QlikSense, integrating behavioral analytics and fund flow profiling to proactively identify mule accounts, accelerating detection and materially reducing financial crime risk.
  • Built data intelligence solutions to enhance KYC operations, incorporating holistic risk scoring and behavioral analytics to improve Customer Due Diligence (CDD), Enhanced Due Diligence (EDD), and periodic review processes, significantly enhancing compliance effectiveness and decision accuracy.
  • Led customer remediation initiatives by analyzing AUM, product holdings, and CASA balances, enabling Customer Review Units to assess the materiality and risk profile of flagged customers and make informed decisions on retention, exit, or escalation.
  • Developed a machine learning model to evaluate Relationship Managers (RMs) based on misconduct trends and sales anomalies. Leveraged clustering algorithms to detect suspicious behaviors, strengthening conduct surveillance and improving governance in wealth management.
  • Delivered a Market Conduct Analytics and Supervision platform for wealth sales leaders, enabling data-driven oversight and accountability across advisory practices, bolstering regulatory compliance and minimizing reputational risk.


Senior Big Data Consultant

NCS Pte Ltd
01.2022 - 02.2023
  • Led a high-priority data engineering initiative, ensuring the efficient management and processing of large-scale government data systems.
  • Identified and addressed critical Data Warehouse challenges, implementing SAS code optimizations that resulted in a 20% reduction in processing time.
  • Played a key role in enhancing the system’s capabilities by designing and deploying new logics that accommodated diverse government service requests, improving overall system flexibility and responsiveness.


Technical Consultant

SAS Singapore
11.2018 - 10.2021
  • Took a leadership role in the development of an Intraday Liquidity Monitoring system, ensuring seamless integration and real-time insights into liquidity risk management.
  • Worked closely with the SAS Sales and Pre-Sales teams on multiple Proof of Concepts (POCs), contributing expertise in Machine Learning and Data Analytics to develop advanced solutions for banking sector.
  • Developed predictive models for fraud detection, addressing imbalanced data challenges using synthetic sampling techniques. Also, led the creation of an alert prioritization model, optimizing the response time and improving the precision of fraud alerts.

Software Engineer

Ryzklytix Consulting Solutions Pvt Ltd
02.2015 - 10.2018
  • Worked closely as a partner resource with the SAS India team, contributing to the successful implementation of Risk Solutions, product configuration, and valuation processes.
  • Served as a Technical Consultant for the implementation of Interest Rate Risk in the Banking Book (IRRBB), ensuring compliance with BASEL guidelines.
  • Played a pivotal role in generating and validating cashflows for multiple investment products in the market risk module, while also deriving Mark-to-Market (MtM) and Value at Risk (VaR) values for various financial products.

Software Engineer

Wipro Infotech
04.2013 - 01.2015
  • Configured and implemented Standardized Measurement Method (SMM) and Internal Models Approach (IMA) for calculating market risk capital requirements, ensuring compliance with regulatory frameworks.
  • Played a key role in integrating both SMM and IMA into the risk management system, enabling accurate and efficient assessment of market risk exposure for the organization.

Education

Certificate - Machine Learning Using Python

National University of Singapore
Singapore
03-2024

Bachelor of Engineering - Electrical And Electronics Engineering

Visvesvaraya Technological University
07-2012

Skills

  • SAS software proficiency
  • Data analysis with SQL
  • Skilled in Python coding
  • Proficient in QlikSense and PowerBI
  • Experience with machine learning techniques
  • Data extraction and transformation
  • Statistical modeling
  • Financial data analysis
  • Anti-money laundering analysis
  • Financial fraud detection skills

Certification

  • Microsoft Certified: Azure Data Engineer Associate
  • SAS certified Data Scientist

  • Deep Learning Specialization from Deeplearning.ai

Timeline

Senior Data Analytics Specialist

United Overseas Bank (UOB)
03.2023 - Current

Senior Big Data Consultant

NCS Pte Ltd
01.2022 - 02.2023

Technical Consultant

SAS Singapore
11.2018 - 10.2021

Software Engineer

Ryzklytix Consulting Solutions Pvt Ltd
02.2015 - 10.2018

Software Engineer

Wipro Infotech
04.2013 - 01.2015

Certificate - Machine Learning Using Python

National University of Singapore

Bachelor of Engineering - Electrical And Electronics Engineering

Visvesvaraya Technological University

Similar Profiles

CREATE PROFILE
Niranjan Appaji