Senior Manager, Financial Fraud Analytics & Risk Strategy (Individual Contributor)

Sorry, this job was removed at 04:45 p.m. (UTC) on Thursday, Oct 22, 2026
Be an Early Applicant
Taguig, Southern Manila District, National Capital Region, PHL
In-Office
Senior level
Artificial Intelligence • Analytics
The Role
Leads financial fraud analytics and risk strategy by identifying fraud trends, investigating incidents, analyzing root causes, developing predictive models and dashboards, strengthening controls, and advising senior leaders. The role translates complex data into risk mitigation strategies, supports automation and process improvements, and influences enterprise-wide decisions related to fraud prevention, compliance, and operational integrity.
Summary Generated by Built In
Company Description

Protect the Business. Influence Decisions. Drive Fraud Prevention Strategy.

Sutherland is seeking a highly analytical and business-minded Senior Manager, Financial Fraud Analytics & Risk Strategy to lead the development of data-driven fraud prevention and risk mitigation initiatives. This is a senior-level individual contributor role designed for professionals who excel at solving complex fraud challenges, uncovering emerging risk patterns, and influencing enterprise-wide decisions through advanced analytics and strategic insights.

As a trusted advisor to business and operational leaders, you will leverage data, technology, and investigative methodologies to identify fraud trends, improve risk controls, strengthen compliance frameworks, and drive measurable business outcomes. You will play a critical role in protecting revenue, enhancing customer trust, and ensuring operational integrity across the organization.

This role is ideal for professionals with experience in fraud risk management, financial crime analytics, banking operations, payment risk, consulting, or enterprise risk functions.

Job Description

*For Pooling Purposes*

What You'll Do

Lead Fraud Analytics & Risk Strategy

  • Develop and execute data-driven strategies to identify, monitor, and mitigate financial fraud risks.
  • Analyze fraud trends, emerging threats, and operational vulnerabilities to proactively recommend risk reduction initiatives.
  • Partner with senior leaders to align fraud prevention strategies with broader business objectives.

Drive Complex Investigations & Root Cause Analysis

  • Lead deep-dive analyses into fraud incidents, behavioral patterns, and risk events.
  • Identify root causes and recommend sustainable solutions to strengthen controls and reduce future exposure.
  • Assess new fraud tactics and emerging external threats to ensure organizational readiness.

Deliver Actionable Business Intelligence

  • Utilize advanced analytics to uncover fraud patterns, anomalies, and operational risks.
  • Develop predictive models, dashboards, and reporting frameworks that support informed decision-making.
  • Translate complex findings into concise, executive-level recommendations and actionable strategies.

Strengthen Risk Controls & Operational Effectiveness

  • Evaluate existing fraud controls, monitoring systems, and operational processes.
  • Recommend enhancements that improve detection rates, reduce losses, and increase operational efficiency.
  • Support the implementation of automation, process improvements, and advanced fraud management solutions.

Influence Executive Decision-Making

  • Serve as a subject matter expert and strategic advisor for fraud risk management initiatives.
  • Present trends, risks, opportunities, and recommendations to senior leadership and key stakeholders.
  • Lead high-priority projects and analyses that support organizational risk management objectives.

Qualifications

What We're Looking For

Strategic Risk Thinking

You can quickly assess complex fraud environments, identify key risk drivers, and develop practical strategies that balance customer experience, operational efficiency, and risk mitigation.

Advanced Analytical Capability

You are highly proficient in translating large, complex datasets into meaningful business insights and actionable recommendations.

Executive Presence & Influencing Skills

You can communicate technical findings clearly to both operational teams and executive stakeholders, enabling confident decision-making.

Independent Leadership

You thrive in ambiguity, take ownership of critical initiatives, and drive results without requiring direct management responsibility.

Qualifications

  • Bachelor's degree in Finance, Economics, Accounting, Business, Mathematics, Statistics, Data Science, Criminology, Engineering, or a related discipline.
  • 8+ years of experience in Financial Fraud, Risk Management, Fraud Analytics, Financial Crime, Banking Operations, Payments Risk, Compliance, Investigations, or related fields.
  • Proven experience developing fraud detection, monitoring, and risk mitigation strategies.
  • Strong analytical and quantitative skills with experience working with large datasets and complex business problems.
  • Advanced proficiency in Excel and data analysis tools.
  • Experience using SQL, Python, R, SAS, Power BI, Tableau, or similar analytics platforms is highly preferred.
  • Strong understanding of fraud typologies, transaction monitoring, investigative techniques, and risk management frameworks.
  • Experience partnering with senior stakeholders and influencing cross-functional business decisions.
  • Excellent communication, presentation, and stakeholder management skills.
  • Relevant certifications such as CFE, CAMS, CRCM, CFCS, or similar credentials are advantageous.

Additional Information

Why Join Sutherland?

At Sutherland, you'll have the opportunity to solve sophisticated fraud and risk challenges, partner with senior leaders, and help shape strategies that protect the business while driving operational excellence. Your expertise will directly influence critical decisions and contribute to a secure, resilient, and high-performing organization.

If you're passionate about fraud prevention, advanced analytics, and strategic problem-solving, we invite you to apply and make a lasting impact.

 

Skills Required

  • Bachelor's degree in Finance, Economics, Accounting, Business, Mathematics, Statistics, Data Science, Criminology, Engineering, or a related discipline
  • 8+ years of experience in financial fraud, risk management, fraud analytics, financial crime, banking operations, payments risk, compliance, investigations, or related fields
  • Experience developing fraud detection, monitoring, and risk mitigation strategies
  • Strong analytical and quantitative skills with experience working with large datasets and complex business problems
  • Advanced proficiency in Excel and data analysis tools
  • Experience using SQL, Python, R, SAS, Power BI, Tableau, or similar analytics platforms
  • Strong understanding of fraud typologies, transaction monitoring, investigative techniques, and risk management frameworks
  • Experience partnering with senior stakeholders and influencing cross-functional business decisions
  • Excellent communication, presentation, and stakeholder management skills
  • CFE, CAMS, CRCM, CFCS, or similar relevant certification

Sutherland Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sutherland and has not been reviewed or approved by Sutherland.

  • Flexible Benefits — Flexible scheduling and work-from-home arrangements are offered on certain programs, supported by remote-work infrastructure and virtual IT support. Program-specific flexibility is emphasized for “Sutherland Anywhere” roles.
  • Leave & Time Off Breadth — Paid time off and paid training are positioned as standard elements, with some materials also highlighting flexible vacation days. Core leave features are presented as part of the baseline package.
  • Strong & Reliable Incentives — Performance incentives, bonuses, and commissions are available on selected programs to supplement base pay. Goal-linked earnings opportunities are described for certain functions.

Sutherland Insights

Similar Jobs

Remote or Hybrid
2 Locations
289097 Employees
Remote or Hybrid
2 Locations
289097 Employees

TransUnion Logo TransUnion

Relationship Manager

Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Hybrid
Makati City, Metro Manila, National Capital Region, PHL
13000 Employees

Remitly Logo Remitly

Operations Coordinator

eCommerce • Fintech • Payments • Software • Financial Services
In-Office
Manila, Metro Manila, National Capital Region, PHL
3000 Employees
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Pittsford, NY
39,547 Employees
Year Founded: 1986

What We Do

We make digital ?????™ by combining human-centered design with real-time Analytics, AI, Cognitive Technology & Automation to create exceptionally engineered Brand Experiences! Sutherland is an experience-led digital transformation company. Our mission is to deliver exceptionally engineered experiences for customers and employees today, that continue to delight tomorrow. For over 35 years, we have cared for our customers’ customers, delivering measurable results and accelerating growth. Our proprietary, AI-based products and platforms are built using robust IP and automation. We are a team of global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland. #MakeDigitalHuman

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account