Senior Software Engineer – Fraud Prevention

About the role

Our client, a leading tech organization, is seeking an experienced Senior Software Engineer – Fraud Prevention.

Apply today for consideration!

Title: Senior Software Engineer – Fraud Prevention

Location: Hybrid in New York, NY

Duration: ~12 months

Pay Range: $64-69/hr.

Contract Type: W2 Contract

Job Description:

Author, maintain, and optimize fraud rules and policies across real-time fraud decisioning engines to protect customers from account takeover (ATO) and other fraud.

Design, develop, and maintain backend services within the fraud-prevention technology stack.

Implement new features, API changes, integrations, and production code improvements while maintaining reliability, performance, and quality.

Use AI coding tools such as Claude Code, Cursor, and Codex to accelerate rule authoring and backend service development, with appropriate human review and testing.

Translate policy and analytics requirements into precise, testable rule logic, including thresholds, fraud signals, and link-analysis weights.

Tune fraud detection logic to improve fraud-catch precision while reducing friction for legitimate customers.

Test changes end-to-end using pre-release testing and deployment tooling.

Support safe production releases through silent/shadow-mode validation, change-request approvals, and controlled rollouts.

Contribute to engineering quality through design documentation, code reviews, automated testing, CI/CD, and observability.

Monitor production services and support on-call activities, troubleshooting issues and using observability dashboards to track service health, rule performance, latency, and match rates.

Collaborate with Policy, Analytics, Data Science, and Product teams to respond to emerging fraud attacks and improve detection coverage.

Skills/Abilities:

Strong backend software engineering skills with experience building and supporting production services.

Proficiency in a server-side programming language, particularly Java; Python or Node.js experience is also valuable.

Strong experience designing and maintaining RESTful APIs and integrations.

Experience with relational and/or NoSQL database technologies.

Experience with server-side frameworks such as Spring MVC, Express, or Django.

Hands-on experience contributing to production services, including production-quality code, automated testing, deployment, and on-call support.

Proficiency with AI coding tools such as Claude Code, Cursor, Codex, or similar tools, with the ability to validate and review AI-generated output.

Strong understanding of Agile development, object-oriented design, and software engineering best practices.

Strong communication and collaboration skills across engineering, policy, analytics, and product teams.

Ability to learn quickly and adapt in a dynamic, fast-moving environment.

Experience:

2+ years of professional software engineering experience building and contributing to backend services.

Experience developing backend applications using Java or another server-side programming language.

Experience with RESTful APIs, database technologies, and server-side frameworks.

Experience supporting production services, including testing, deployment, monitoring, and troubleshooting.

Experience with AI-assisted software development tools and the ability to evaluate and validate generated code.

Experience with Agile development methodologies and modern software engineering practices.

Preferred Experience:

Familiarity with business rules engines such as Drools, including authoring and debugging rule sets.

Experience translating fraud or risk policies into rule logic.

Experience with risk decisioning, case disposition, trust & safety, or fraud-prevention systems.

Experience contributing to backend services at scale, including reliability and performance optimization.

Exposure to formal release and change-management processes.

Experience with observability and monitoring tools.

Interest or experience in fraud prevention, trust & safety, or risk systems.

Additional Information:

This is a senior-level backend software engineering role focused on fraud prevention and real-time risk decisioning.

Experience with Java, REST APIs, production backend services, AI coding tools, and fraud/risk systems is strongly preferred.

Candidates should be comfortable collaborating across Engineering, Policy, Analytics, Data Science, and Product teams.

Hybrid position based in New York, NY.

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Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.

Applicant Privacy Disclosure

We collect personal information from applicants during the recruiting, pre-offer, and offer process.

During the recruiting, pre-offer process and offer process, we may collect the following categories of personal information:

Identifiers, such as name, address, and email address.

Professional and Employment-Related Information, such as resume, work history, education, and qualifications.

Information Voluntarily Provided by You in connection with the recruiting and pre-offer process.

Sensitive Personal Information, where legally permitted and necessary, such as Social Security number and date of birth.

Personal information is collected and used for the following business purposes: evaluating qualifications and eligibility for employment; communication regarding the recruitment and application process; verifying eligibility for employment; and complying with applicable legal, regulatory, and contractual obligations.

Personal information is collected and used only as necessary, and we are committed to data minimization, privacy, and providing equal employment opportunities. We are an international organization, and personal information may be accessed or processed by authorized personnel or service providers located outside the United States, subject to appropriate safeguards. We restrict use and access to personal information to authorized personnel and service providers with confidentiality and data security obligations. We maintain administrative, technical, and physical safeguards designed to protect personal information from unauthorized access, use, or disclosure.

For information about our privacy practices, please review our Privacy Policy at: https://prideglobal.com/privacy-policy

If you do not consent to the collection of such personal information, please advise us immediately in writing at datasecurity@prideglobal.com

Equal Employment Opportunity

[Hiring Entity Name] is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Fair Chance Employment

[Hiring Entity Name] is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations

We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.

Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.