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BNY

Fraud Hub Lead Engineer

Posted 23 Days Ago
Be an Early Applicant
In-Office
New York, NY, USA
130K-250K Annually
Senior level
In-Office
New York, NY, USA
130K-250K Annually
Senior level
Lead the global engineering strategy for BNY's Fraud Hub, overseeing platforms for fraud detection and prevention, leveraging AI for enhanced security and operational excellence.
The summary above was generated by AI

Corporate Engineering – Fraud Hub Lead Engineer

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Fraud Hub Lead Engineer to join our Corporate Engineering team. This role can be in NYC, NY or Pittsburgh, PA or Lake Mary, FL

Role Overview

We are seeking an experienced Fraud Hub Lead Engineer to lead the global Engineering strategy and execution for BNY’s Fraud Hub. This role serves as the firmwide engineering authority for Fraud detection, prevention, and response platforms, with responsibility for defining architecture, driving AI‑first solutions, and delivering secure, resilient, and scalable systems.

As part of Corporate Engineering, you will lead the engineering organization responsible for the platforms that protect identity and payment methods across wires, cheques, cards, and emerging payment channels. This is a senior leadership role for a hands‑on, technically credible engineering leader who combines deep Fraud domain expertise with modern software, data, and AI engineering capabilities.


Key Responsibilities

Enterprise Fraud Engineering Leadership

  • Define and execute the global engineering strategy for BNY’s Fraud Hub, acting as the single engineering owner for Fraud platforms, standards, and delivery.
  • Build, lead, and inspire a high‑performing global engineering organization with strong technical depth, clear ownership, and a relentless focus on quality and outcomes.
  • Establish engineering standards for availability, resiliency, security, model risk management, and operational excellence across all Fraud technology.

Platform, Architecture, and AI Ownership

  • Own the end‑to‑end architecture, build, and operation of scalable, real‑time Fraud detection and decisioning platforms.
  • Design and operate streaming, event‑driven systems for real‑time Fraud detection, monitoring, and response across high‑volume payment and transaction flows.
  • Integrate emerging AI‑driven systems for anomaly detection, behavior analysis, alert prioritization, investigation, and remediation.  Solutions must include biometrics, video and voice analytics.
  • Develop retrospective and “after‑event” analytics capabilities to continuously improve models, controls, and defenses against emerging Fraud threats.
  • Anticipate new Fraud vectors and proactively evolve platforms, data, and AI capabilities using a 360 mindset to stay ahead of the threat landscape.

Delivery, Operations, and Performance

  • Provide full lifecycle ownership for Fraud platforms, including build, run, resiliency, incident response, and continuous improvement.
  • Establish, track, and report KPIs and OKRs including uptime, MTTR, change success rate, SLA adherence, throughput, and operational risk indicators.
  • Champion modern DevSecOps and MLOps practices, ensuring safe, repeatable, and auditable deployment of software and AI into production.

Enterprise Partnership and Influence

  • Partner closely with Risk, Compliance, Cyber, Legal, Operations, and Product teams to translate regulatory and risk requirements into actionable engineering outcomes.
  • Serve as a trusted engineering leader to senior executives and stakeholders, influencing investment, prioritization, and strategic direction.
  • Provide a firmwide hub of Fraud engineering expertise, intelligence, and best practices, enabling consistent, high‑quality outcomes across the enterprise.

Qualifications & Experience

Required

  • 10+ years of software engineering experience, with at least 5 years delivering Fraud, Financial Crime, or large‑scale risk analytics platforms.
  • Proven experience building and deploying AI/ML‑driven solutions for Fraud detection, anomaly detection, or real‑time risk decisioning.
  • Demonstrated success leading and scaling global engineering teams responsible for mission‑critical, regulated technology platforms.
  • Hands‑on technical credibility and use of emerging AI tools: able to design systems, review code, evaluate architectures, and build working prototypes when needed.
  • Experience operating AI in production environments, including model lifecycle management, monitoring, drift detection, explainability, and governance.
  • Strong understanding of modern distributed systems, event‑driven architectures, streaming platforms, and cloud‑native design patterns.
  • Familiarity with cybersecurity practices, identity and access management, logging/SIEM integrations, and secure‑by‑design engineering.

Preferred

  • Experience working with industry Fraud platforms, vendor ecosystems, or participation in industry working groups.
  • Experience operating in highly regulated financial environments and partnering with Compliance, Risk, and Audit teams.
  • Strong executive communication and stakeholder‑management skills; comfortable influencing across lines of business and technology.
  • You are energized by building platforms, not just managing teams.
  • You bring a forward‑looking mindset — continuously asking what’s next and how we get ahead.
  • You value engineering excellence, operational rigor, and measurable outcomes.
  • You thrive in complex, enterprise environments and can turn ambiguity into execution.

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn 


 Here’s a few of our recent awards: 

  • America’s Most Innovative Companies, Fortune, 2025
  • World’s Most Admired Companies, Fortune 2025
  • “Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. 


BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.



BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $130,000 and $250,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

Top Skills

AI
Cloud-Native Design Patterns
Distributed Systems
Event-Driven Architectures
Machine Learning
Streaming Platforms
HQ

BNY New York, New York, USA Office

240 Greenwich St, New York, NY, United States, 10007

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