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Finance 🏢 Full Time ⭐️ Verified

Senior Fraud Risk Analyst

Apex Financial Solutions
New York
Salary Estimate
USD 120.000 – USD 160.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

The Opportunity:

Apex Financial Solutions is seeking a highly analytical and strategic Senior Fraud Risk Analyst to lead our advanced threat detection initiatives. In this pivotal role, you will leverage data science and machine learning to protect our clients' assets and ensure the integrity of our global payment ecosystem. You will work in a collaborative environment that values innovation, regulatory compliance, and proactive risk mitigation.

Why Join Us?

• Competitive compensation package and comprehensive benefits.

• Work with state-of-the-art fintech tools and AI-driven platforms.

• Professional development opportunities in a rapidly scaling organization.

• A culture that prioritizes work-life balance and employee well-being.

Responsibilities

  • Design, develop, and maintain sophisticated fraud detection models using Python, SQL, and machine learning algorithms to identify emerging fraud patterns.
  • Analyze high-volume transaction data to detect anomalies and implement real-time risk scoring frameworks.
  • Collaborate with cross-functional teams, including Legal, Compliance, and Product Development, to refine security protocols and respond to regulatory requirements.
  • Conduct deep-dive investigations into suspected fraudulent activities and prepare detailed reports for executive leadership.
  • Monitor industry trends and regulatory changes to proactively adjust risk strategies and maintain best-in-class security standards.
  • Mentor junior analysts and contribute to the continuous improvement of the risk management department.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field; Master’s degree is a plus.
  • Minimum of 5 years of experience in fraud detection, risk management, or data analytics within the financial services or fintech sector.
  • Strong proficiency in programming languages such as Python, R, or SQL, with experience in big data processing tools (e.g., Hadoop, Spark).
  • Deep understanding of AML (Anti-Money Laundering) and KYC (Know Your Customer) regulations and compliance standards.
  • Excellent analytical problem-solving skills with the ability to interpret complex datasets and communicate actionable insights.
  • Strong attention to detail and the ability to work under pressure in a fast-paced regulatory environment.

Required Skills

Python SQL Machine Learning Risk Management Fraud Detection AML KYC Data Analysis Compliance Financial Services

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