Fraud Analyst

Job Overview

Experience Range: 1 - 3 years

Positional Requirement/Responsibilities
Position Fraud Detection Analyst
Shift: Night shift is mandatory and subject to change a per client’s requirements.

Job Summary:

• Analyze financial transactions and account activity to identify unusual activity to identify unusual
  or suspicious patterns.
• Conducting in-depth investigations into potential fraud cases, which may involve gathering
  evidence.
• Performing 360 Reviews on the Alert which has been triggered due to violation of threshold set
  for the systems for Fraud types (i.e.- ATO, PTO, TOA, ID Theft, ATO Scam, First Party Frauds etc.)
• Conduct 360 fraud reviews for the customer’s profiles and responsible for detecting and
  mitigating core banking, payments, fraud, and account opening red flags. Implemented solutions
  to fraud problems across ATO’s, P2P Payments, ACH kiting, check kiting, and wire fraud
• Multiple investigations into whistle blower complaints concerning account hijacking,
  transactional frauds, funds transfer return, checks (RDC, Thea) or ACH transactions that
  provided real time decisions on credit cards, loans, and Zelle fraud red flags
• Combined retroactive analysis with current state fraud control assessments to implement
  technology and process framework that provided real time decisions on fraud strategy and
  overall fraud assessment
• Liaison with internal and external counterparts to perform end-to-end alert reviews (360
  review) from fraud alert generation through to SAR filing.
• Analyze data trends and out of pattern activities to assimilate the next course of action (Case
  closure, Reimbursements, or escalation)
• Adjudicate the fraud type and apply relevant mitigation steps basis policies and procedures
  Qualifications:
• Prior experience in Fraud detection and investigations
• Transaction Monitoring experience is preferred
• Familiarity with the firm's internal systems and processes or similar processes at other institutions
• Exceptional research and analytical skills with the ability to analyze large amounts of data,
  decipher higher risk attributes (transactional, geographical, product, customer type, etc.) and
  develop well-reasoned recommendations
• Proficient in MS Office (Outlook/Word/Excel/PowerPoint)
• Maintaining detailed records of fraud cases and investigation outcomes.
• Ensuring compliance with relevant laws and regulations related to fraud detection and
  prevention.

Desired Educational Qualification

• Bachelor’s Degree in Commerce, Computer Science or equivalent is preferred.
  Preferred Educational Qualification
• Full-time master’s degree/MBA

Desired Certifications:

• CFE
• CAMS
• CRPHi Team,