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Senior Director, Fraud Hub Data Lead

BNY Mellon

Senior Director, Fraud Hub Data Lead

BNY Mellon

New York, NY, United States

·

On-site

·

Full-time

·

1w ago

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 and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #Life AtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Sr. Director, Fraud Hub Data Lead to help lead the development of a strategic fraud capability across the firm. This role is located in New York, NY.

In this role as Senior Director, Fraud Hub Data Lead, you’ll make an impact in the following ways:

  • Lead and manage the data and tooling strategy and governance activities within the Fraud Hub.

  • Develop and maintain globally relevant data control standards that are adaptable to local regulatory requirements across functions. Oversee resource allocation and management to support these activities.

  • Serve as the primary point of contact for all data control and risk management activities within the Fraud Hub.

  • Analyze and synthesize key data metrics (fraud risk indicators, error rates, near misses, reconciliations, root cause analyses) to inform operating plans and support the Fraud Hub’s strategic objectives.

  • Establish and enforce policies and procedures support enterprise-wide fraud activities, ensuring alignment with organizational goals and Agile delivery frameworks.

  • Approve and oversee testing protocols to validate the effectiveness of fraud controls and risk mitigation strategies.

  • Define and manage escalation processes for reporting, analysis, and testing issues, empowering subordinate managers to handle complex risk scenarios effectively.

  • Focus on long-term strategic initiatives with significant organizational impact, leading risk and control forums involving senior leadership and representing the centralized data control function.

  • Review team performance metrics regularly and adjust team structure or processes to meet functional objectives.

To be successful in this role, we’re seeking the following:

  • Bachelor’s degree or equivalent combination of education and work experience required; advanced degree preferred.

  • Preferred certifications include Certified Information Security Manager (CISM) or Certified Information Systems Auditor (CISA).

  • 15+ years of relevant experience with at least 5-7 years in management roles, preferably within securities or financial services.

Experience of data analysis and use of relevant data analytical tools.

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 $265,000 and $300,000 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.

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About BNY Mellon

BNY Mellon

BNY Mellon is a global investment company and one of the world's oldest banks, providing investment management and investment services to institutions, corporations and high-net-worth individuals. The company serves as a custodian for assets and provides treasury services, fund administration and other financial services.

10,001+

Employees

New York City

Headquarters

Reviews

4.0

31 reviews

Work Life Balance

3.4

Compensation

4.8

Culture

3.9

Career

4.1

Management

3.5

78%

Recommend to a Friend

Pros

Prestigious brand and networking opportunities

Excellent compensation and bonus structure

Exposure to complex financial systems

Cons

Work-life balance can be difficult

Legacy technology in some areas

High-pressure environment with strict deadlines

Salary Ranges

30 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Data Scientist L2

0 reports

$74,866

total / year

Base

$29,946

Stock

$37,433

Bonus

$7,487

$52,406

$97,326

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Online Assessment/Technical Screen

3

HR/Recruiter Screen

4

Technical Interview

5

Behavioral Interview

6

Final Round/Superday

Common Questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit