Siddhi Bhalerao

Risk & Fraud Intelligence Professional

Siddhi
Bhalerao

3 years front-line experience in fraud investigation and risk operations. Turning transactional data into actionable intelligence from fraud triage to ML-powered detection models.

Open to opportunities  ↓ LinkedIn Profile
1,500+
Cases managed monthly at Amazon
94%
ML classifier accuracy (AUC 0.98)
~50%
Throughput improvement via control optimisation
3 yrs
Financial crime & fraud risk operations
Scroll to explore

/ 01 Who I am

Risk mind. Analytical core. Data-driven instinct.

Fraud Detection & Risk Triage
KPI/KRI Development & MI Reporting
Python / ML / NLP
AML / Sanctions / Financial Crime
Root Cause Analysis & SOP Design
Power BI / Advanced Excel / SQL

I'm a risk and transactional crime professional with three years of front-line experience at Amazon, where I managed a high-volume fraud investigation pipeline across global marketplace and third-party seller ecosystems.

My work sits at the intersection of investigative rigour and quantitative analysis whether that's triage of complex high-risk accounts, root cause analysis of control failures, or building ML classifiers to detect counterfeit seller exposure.

Completed an MSc in Business Analytics & Decision Sciences at the University of Leeds, deepening my capability in predictive risk modelling, forecasting, and data-driven consultancy to bring a more quantitative lens to second line of defence functions.

I'm targeting roles in transactional crime, fraud risk management, and sanctions compliance where analytical rigour, stakeholder advisory, and operational precision intersect.

/ 02 Where I've worked

Companies

📦
Amazon
Risk Operations Associate
Aug 2021 Jul 2024 · Bangalore, India
Global e-commerce & payments platform. Embedded within the Transactional Crime & Trust function, executing fraud and IP enforcement across marketplace and third-party seller ecosystems.
🖥
Mphasis
Technical Support Associate
Jan 2021 Jul 2021 · Bangalore, India
Enterprise IT services firm. Delivered SLA-bound investigations for HP enterprise clients, applying root-cause analysis and systematic problem-solving disciplines transferable to financial crime work.
🛒
Inertia Cart
Sales Operations & Account Management Intern
Jun 2020 Aug 2020 · India
Early experience in structured analytical research, market and competitor analysis, and stakeholder reporting building the foundation for a risk-oriented career.

/ 03 Experience

What I've delivered

Aug 2021 Jul 2024
Amazon
Bangalore, India
Risk Operations Associate (Transaction Risk Investigator)
  • Managed 1,500+ cases/month including 200+ complex high-risk accounts requiring enhanced due diligence, maintaining full SLA compliance.
  • Conducted end-to-end operational risk assessments, independently triaging high-risk accounts and escalating material events per governance frameworks.
  • Identified emerging risk indicators and control gaps from transactional and behavioural data, quantifying financial and operational exposure.
  • Investigated trademark, copyright, and design-right infringement cases with enforcement actions aligned to regulatory requirements.
  • Partnered with Product, Legal, Risk & Ops teams to enhance automated monitoring frameworks reducing false-positive rates.
  • Produced risk narratives and escalation reports for senior leadership, enabling data-backed decision-making.
  • Contributed to ~50% improvement in operational throughput via control optimisation and capacity programme work.
Jan 2021 Jul 2021
Mphasis
Bangalore, India
Technical Support Associate
  • Delivered structured, SLA-bound investigations of technical and operational issues for HP enterprise clients.
  • Applied root-cause analysis and systematic problem-solving skills directly transferable to financial crime investigations.
  • Contributed to process documentation improvements, supporting consistent, auditable resolution practices.
Jun 2020 Aug 2020
Inertia Cart
India
Sales Operations & Account Management Intern
  • Conducted market and competitor analysis to identify business risk and opportunity.
  • Developed early experience in structured analytical research and stakeholder reporting.

/ 04 Key Projects

Work that speaks for itself

MSc Dissertation · Machine Learning

Fraud & Counterfeit Risk Detection Model

Built an ML classifier to detect fake review risk and counterfeit seller exposure, producing a composite Risk Score integrating anomaly signals and behavioural indicators directly applicable to fraud analytics and KRI development in a second line function.

Python NLP scikit-learn pandas Anomaly Detection
94% accuracy · AUC = 0.98
Quantitative Analytics · Forecasting

Forecasting & Quantitative Risk Analytics

Applied ARIMA-based forecasting to model consumption trends, achieving MAPE < 0.2%. Used TOPSIS and weighted scoring methods to solve multi-criteria risk and decision problems evidencing structured thinking applicable to fraud risk assessment frameworks.

R ARIMA TOPSIS Excel SPSS
<0.2% MAPE forecasting accuracy
Amazon · Internal Programme

Transaction Risk Control Optimisation & Capacity Programme

Evaluated and stress-tested automated risk monitoring workflows, identifying control bottlenecks. Produced performance dashboards, escalation guidelines, and SOP documentation to improve governance and MI reporting. Experience directly transferable to assuring 1st line controls.

Risk Controls SOP Design MI Reporting Power BI
~50% throughput & detection accuracy improvement
Core Competencies

Technical & Domain Skills

A snapshot of the tools and frameworks I bring to every engagement from investigative operations to quantitative modelling.

Fraud Risk AML / Sanctions KRI Development Python SQL Power BI Advanced Excel Root Cause Analysis 2nd Line RM Stakeholder Advisory JMLSG Guidance 3 Lines of Defence

/ 05 Education

Academic foundation

2024 2025
MSc Business Analytics & Decision Sciences
University of Leeds, United Kingdom
Forecasting & Advanced Analytics · Quantitative Analysis (SPSS) · Business Decision Science · Data Visualisation · Evidence-Based Consultancy

Dissertation: Fraud and counterfeit risk detection using ML and behavioural analytics.
2018 2020
MBA Marketing
International Institute of Business Studies, Bangalore
Graduate business foundation with focus on marketing strategy and stakeholder management.
2015 2018
BBA International Business
BYK College of Commerce, Nashik
Undergraduate foundation in international business, commerce, and trade.

/ 06 Let's talk

Let's build
something secure.

Open to roles in transactional crime, fraud risk management, and sanctions compliance. Based in the United Kingdom available immediately.

Email bhaleraosiddhi.007@gmail.com
Phone +44 7871 160 400
Location United Kingdom
Status ● Available for opportunities
LinkedIn linkedin.com/in/siddhi-bhalerao7