05/09/2025
How to Apply:
Email your resume and a cover letter explaining your experience in fraud detection and systems engineering to [email protected]
Job Title: Fraud & Risk Systems Engineer
Location: Remote (U.S. or Canada Preferred)
Company: Clear Nexus Inc.
Industry: Fintech / Consumer Lending / BPO
Employment Type: Full-Time / Contract-to-Hire
About Clear Nexus:
Clear Nexus is a leading business process outsourcing (BPO) provider and technology firm specializing in performance-based marketing, underwriting infrastructure, and fraud mitigation systems for the short-term consumer lending industry. We leverage proprietary technologies such as Lead Cap, Protheus, and Terminator to help lenders grow, scale, and mitigate fraud risks effectively.
We're looking for an experienced Fraud & Risk Systems Engineer to join our growing team and build a robust and intelligent fraud prevention system to enhance our lead and underwriting platforms.
Role Overview:
As a Fraud & Risk Systems Engineer, you will be responsible for building and maintaining our Blacklist Engine, integrating it with our Protheus decision engine and Lead Cap marketing funnel. Your primary focus will be automating the ingestion of fraud signals and creating rules to filter, flag, and prevent high-risk leads from entering the underwriting pipeline.
Key Responsibilities:
Develop & Manage Blacklist Engine: Build and maintain centralized databases to track and filter high-risk sources, such as IP addresses, ABAs, ZIP codes, email domains, and affiliates.
Design & Implement Fraud Rules: Automate rule-based logic for fraud detection and prevention across multiple channels and data points (e.g., IP geolocation mismatches, affiliate quality scoring).
Integrate with Internal Systems: Work with backend developers to integrate blacklist data and fraud flags into Protheus and Lead Cap for automated decision-making.
Build Reporting Tools: Create dashboards and reports to help monitor, adjust, and manage blacklist performance and fraud mitigation efforts.
Collaborate Across Teams: Work with fraud analysts, data engineers, and business stakeholders to refine risk models and decision-making rules.
Optimize Fraud Detection: Continuously analyze and improve fraud detection models based on lead performance and risk trends.
Qualifications:
3+ years of experience in fraud analysis, credit risk systems, or data engineering (with a focus on fintech or consumer lending preferred)
Proficient in SQL and Python; experience with other scripting languages a plus
Experience building or working with rules engines or decision trees
Familiarity with fraud detection tools (e.g., Socure, Microbilt, Clarity, Deduce, SEON)
Strong understanding of lead generation and underwriting processes
Ability to design and implement real-time fraud filtering systems
Familiarity with APIs, ETL pipelines, and data management practices
Bonus: Experience with AWS, Docker, or cloud-native solutions
Why Clear Nexus?
Remote-first environment – Work from anywhere, collaborate with a distributed team.
Entrepreneurial company – Be part of a fast-growing company where you can directly impact outcomes.
Competitive compensation – Generous salary + benefits + performance-based incentives.
Innovative projects – Work on cutting-edge fraud prevention technologies and consumer lending systems.
Collaborative team – Join a skilled team of professionals passionate about fintech and data-driven solutions.
