Cyber Fraud Analytics Engineer

Position Overview

In the Technology division, we leverage innovation to power our Firm and redefine markets. This Cybersecurity Eng III position at Director level is part of the Cyber Fraud Analytics and Intelligence team—tasked with providing specialist cyber expertise to protect our systems and networks from emerging threats. As a Cyber Fraud Analytics and Intelligence Analyst, you will collect, communicate, and disseminate intelligence while building analytics to investigate and prevent cyber enabled fraud.

Key Responsibilities

• Monitoring and responding to cyber fraud feeds, triaging alerts, and escalating issues to relevant teams and stakeholders.
• Developing, implementing, and maintaining cyber fraud analytics, procedures, and best practices in alignment with team policies and mission.
• Conducting research into TTPs, identifying IOCs, performing trend analysis, and profiling threat actors.
• Distilling and contextualizing data from diverse sources into clear reports for both technical and non-technical audiences.
• Coordinating with incident response and investigation teams to address security issues in a timely and consistent manner.

Required Qualifications

• Education: Bachelor's degree in Computer Science, Cybersecurity, Data Science, or a related field.
• Experience Required: 5+ years of experience in cybersecurity or fraud, with a focus on data analytic development utilizing programming, scripting, and query languages.

Preferred Qualifications

• Experience with scripting (Python, Bash, etc.) for automation, and use of Elastic and Kibana for large scale data aggregation and analysis.
• Threat hunting experience using tools such as Sigma and Yara.
• Expertise in schema generation and data normalization for new datasets.
• In-depth knowledge of cyber enabled fraud threats, techniques, and tooling.
• Desirable certifications such as SANS Cyber Threat Intelligence (FOR578), CompTIA Security+, Certified SOC Analyst (CSA), Data Analytics Certifications (from platforms like Coursera, edX, or Microsoft), or Chainalysis Fundamentals.
• Excellent communication and interpersonal skills, along with strong problem-solving and analytical capabilities.
• Ability to manage multiple priorities in a fast-paced corporate environment.

Benefits & Perks

• Salary: $85,000 - $150,000 per year with eligibility for an annual discretionary incentive compensation award and participation in the incentive compensation plan, including potential bonus components.
• Benefits: Comprehensive benefits package including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave, Parental Leave, and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, as well as other special perks.