Fraud And Risk Management Analyst

Job Title: Fraud & Risk Management Analyst (Payments, Neo-Banking & Crypto)

Location:
Bengaluru (Work From Office)

Function:
Risk & Fraud Management

Employment Type:
Full-time

Compensation:
Competitive Base + Performance-Linked Bonus

Tools Provided:
MacBook

About FinFusion

FinFusion is building
future-ready FinTech platforms
—
ZenPay
(Neo-Banking & Global Payments) and
Verafye
(AI-powered Fraud & Risk). We deliver secure, real-time transaction monitoring at scale across cards, bank rails (UPI/ACH/SWIFT/RTP/SEPA), wallets, and crypto ecosystems.

Join a fast-paced, hands-on team shaping the next generation of
fraud prevention and risk intelligence
for global financial systems.

Role Overview

We are seeking a
Fraud & Risk Management Analyst
with strong expertise in
banking, payments, or crypto risk
. You will analyze real-time transaction data to uncover fraud patterns, design and deploy risk rules, collaborate with Data Science teams to enhance model precision, and protect our customers from evolving fraud threats.

Your work will directly impact
fraud loss reduction
,
approval rate optimization
, and
compliance alignment
across our global operations.

Key Responsibilities

Transaction Monitoring & Fraud Detection

• Analyze real-time data streams (web, mobile, API, POS) to identify and mitigate fraud patterns such as account takeovers, mule networks, triangulation, synthetic IDs, bot abuse, velocity attacks, and chargeback rings.
• Design, test, and deploy
  fraud detection rules
  and
  risk scoring frameworks
  (pre- and post-authorization).
• Maintain governance and monitor drift in fraud rule performance.

Crypto Risk Management

• Detect
  crypto-specific risks
  (bridging/mixing, peel chains, sanctioned counterparties, wash trading, dusting).
• Develop and enforce
  Travel Rule
  and
  VASP control frameworks
  to ensure compliance.

Data & Model Partnership

• Translate identified fraud patterns into
  features and training datasets
  for ML models.
• Review model metrics (precision, recall, AUC) and fine-tune orchestration thresholds.

Decisioning & Policy Optimization

• Refine
  decision stacks
  (allow/deny/review) and
  waterfall logic
  to minimize losses while maximizing transaction approvals.
• Design
  step-up verification strategies
  (KYC/KYB, 3-DS, SCA, behavioral checks).

Investigations & Reporting

• Conduct detailed
  fraud investigations
  , prepare narrative memos, and support
  chargeback defenses
  .
• Develop
  weekly dashboards
  tracking fraud rates (BPS), false positives, manual reviews, recovery %, and authorization performance.

Compliance & Collaboration

• Work with Compliance teams on
  KYC/KYB, AML/CFT
  , sanctions, and privacy compliance (GDPR, DPDP Act, PCI-DSS).
• Partner with Engineering and Product teams to improve system reliability and accuracy.

Requirements (Must-Haves)

• 5–10+ years
  of experience in Fraud/Risk functions within
  banking, payments, or fintech
  (issuer, acquirer, PSP, or gateway).
• Proven track record designing and deploying
  fraud rules
  and
  tuning risk engines
  in live environments.
• Hands-on with
  SQL
  and comfortable using
  Python or R
  for analysis.
• Deep understanding of
  card and bank rails
  (MCCs, BIN ranges, auth flows, UPI/NPCI, chargebacks, 3DS/SCA).
• Familiarity with
  crypto risk typologies
  and
  Travel Rule / VASP compliance
  .
• Strong analytical, communication, and documentation skills (incident reports, runbooks, executive memos).

Nice to Have

• Exposure to tools such as
  device fingerprinting, bot detection, link/graph analysis, velocity stores, and case management systems
  .
• Experience with
  Kafka/Kinesis
  ,
  feature stores
  , or
  SIEM platforms
  .
• Understanding of
  cybersecurity frameworks
  (NIST, ISO 27001, CIS).
• Prior experience with
  sanctions screening
  or
  geolocation/IP intelligence
  .

Success Metrics (First 6 Months)

• Deploy
  2–3 high-impact rule packs
  reducing target fraud typologies by
  30–50%
  with ≤10% false positives.
• Improve
  authorization rates by 100–200 bps
  via smarter step-ups and thresholds.
• Establish a
  fraud intelligence cadence
  (dashboards, alerts, playbooks, post-mortems).

Why Join FinFusion

• Build and deploy
  AI-driven fraud prevention systems
  across global payment and crypto networks.
• Collaborate with
  risk engineers, data scientists, and product innovators
  in a high-growth environment.
• Be at the forefront of
  next-gen FinTech security
  , protecting millions of digital transactions worldwide.