CrawlJobs Logo

Fraud Strategy & Model Risk Analytics

United States, Dallas/Irving 65.00 - 67.00 USD / Hour · Job Posted June 14, 2026
Apply Position
Job Link Share

Job Description

As a key member of the Fraud Analytics, Modeling & Intelligence organization, you will design and execute data-driven fraud strategies for North American and global portfolios. This high-impact role focuses on the full fraud lifecycle—from preventing synthetic ID and application fraud to mitigating sophisticated account takeover (ATO) schemes. You will sit at the intersection of data science and risk management, leveraging large-scale datasets to build proactive defenses that safeguard our customers and the bank’s reputation.

Job Responsibility

  • Design, test, and implement automated fraud risk strategies within advanced decision engines for consumer and commercial portfolios
  • Manage the end-to-end model lifecycle, partnering with developers, vendors, and Model Risk Management (MRM) to ensure models are validated, high-performing, and compliant
  • Continuously evaluate new data sources, AI/ML capabilities, and external tools to stay ahead of evolving fraud patterns
  • Extract actionable insights from Big Data environments (Hadoop, Hive, Python) to identify emerging attack vectors and behavioral trends
  • Support the Authorization Governance process by monitoring historical performance and translating complex data into clear, executive-level documentation
  • Produce rigorous technical reports that meet regulatory standards and survive deep-dive audits from supervisory authorities
  • Act as a critical liaison between Fraud Policy, Operations, and Technology to ensure seamless execution of business priorities
  • Foster a culture of transparency and ethical judgment, ensuring all strategic decisions align with global compliance and regulatory requirements

Requirements

  • 5+ years in Fraud, Payments, or Risk Analytics
  • Experience in the banking or fintech sector is highly preferred
  • 3+ years of hands-on experience in a Big Data environment
  • Advanced proficiency in Python, SQL, SAS, or Hive/Impala is required
  • Proven ability to apply mathematical and statistical techniques to solve complex, real-world business problems
  • Exceptional ability to translate technical findings into strategic narratives for senior leadership and regulatory bodies
  • A self-starter capable of navigating a complex global matrix organization with minimal oversight
  • Required: Bachelor's Degree in a quantitative field (Statistics, Mathematics, Physics, Economics, or Computer Science)
  • Preferred: Master's Degree or Ph.D. in a related field

Nice to have

  • Experience in the banking or fintech sector
  • Master's Degree or Ph.D. in a related field

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Fraud Strategy & Model Risk Analytics

8 matching positions

Banamex Senior Credit Fraud Strategy & Analytics Manager

The Credit Portfolio Senior Manager is a senior management-level position respon...
Location
Location
Mexico , Ciudad De Mexico
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6-10 years of experience with analytical or data manipulation tools (e.g., SAS, SQL, R, SPSS)
  • Experience with econometric and statistical modeling or application risk scoring
  • Experience in big data with knowledge of probabilities/distributions, building decision trees and regression models
  • Proficiency in MS Office
  • Proven ability to derive patterns, trends and insights, perform risk/reward trade-off analyses and connect these analytics to business impacts
  • Demonstrated quantitative, presentation and analytic skills
  • Consistently demonstrate clear and concise written and verbal communication
  • Bachelor's degree/University degree or equivalent experience
  • 5 a 7 años de experiencia en: Riesgo de crédito
  • Fraude (especialmente First Party Fraud)
Job Responsibility
Job Responsibility
  • Maintain compliance with Citibank credit policies/practices, regulatory policies and prepare, update, and ensure approval of all internal policy and procedure changes, keeping proper change and approval logs
  • Conduct managerial responsibilities, including coaching/mentoring, performance management and evaluation (including managing the Review the Reviewer process), work assignment management and resource/capacity management, monitoring and escalating as needed
  • Continuously identify process improvements and efficiencies to support business unit goals through dissecting issues and making recommendations
  • Monitor daily queue dashboard and production reports and address production and/or pipeline management issues, serving as a an escalation point of contact for these and SLA related issues with the goal of enhancing customer experience
  • Conduct analyses related to policy (e.g., benefits tracking), bureau and alternate credit information, risk and reward trade-off, etc. by leveraging data and creating ad-hoc analyses/management information systems (MIS)
  • Identify business opportunities, develop credit tests and risk strategies, balancing risk and return, and work with cross-functional teams to ensure flawless execution of policy tests and strategies
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards
  • Fulltime
Read More
Arrow Right

Fraud Risk Analytics Manager

We are seeking an experienced Senior Data Scientist to lead fraud risk strategy ...
Location
Location
United States , Johnston; Mason; Pittsburgh; Cleveland; Chicago; Irving; Boston; Philadelphia
Salary
Salary:
105000.00 - 130000.00 USD / Year
citizensbank.com Logo
Citizens Bank
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in fraud analytics, fraud risk management, or financial crime data science
  • Strong experience with fraud detection, prevention, and decisioning systems in complex environments
  • Demonstrated ability to balance risk reduction, customer experience, and operational efficiency
  • Proven track record of independent problem‑solving, ownership, and delivery in ambiguous problem spaces
  • Excellent communications (oral and written), interpersonal/business partnering, and organizational skills
  • Demonstrates courage, innovation, and high productivity
  • Advanced SQL for data extraction, transformation, and analysis
  • Strong Python skills for data analysis, modeling, and pipeline development
  • Solid foundation in data science and statistical learning, including: Classification and regression techniques
  • Feature engineering
Job Responsibility
Job Responsibility
  • Discover, Design, develop, and execute fraud risk strategy optimization frameworks, including rule, model, and hybrid decisioning approaches
  • Perform entity‑level fraud state estimation across customers, accounts, devices, and networks to enable consistent, enterprise‑wide fraud understanding
  • Translate complex fraud signals into actionable insights and decision support for colleagues across business, risk, and operations
  • Partner with first- and second-line risk teams to ensure strategies are transparent, explainable, and well‑governed
  • Collaborate with operations and product teams to ensure well-defined objective functions which are operationally viable and aligned with customer experience goals
  • Communicate findings clearly to both technical and non‑technical audiences, influencing decision‑making at multiple levels
  • Champion innovation by testing new analytical approaches while maintaining disciplined execution and production readiness
What we offer
What we offer
  • comprehensive medical, dental and vision coverage
  • retirement benefits
  • maternity/paternity leave
  • flexible work arrangements
  • education reimbursement
  • wellness programs
  • Fulltime
Read More
Arrow Right

Senior Data Scientist, Analytics (Risk & Fraud)

Airwallex is building a centralised risk platform that will harness advanced ana...
Location
Location
China , Shanghai
Salary
Salary:
Not provided
airwallex.com Logo
Airwallex
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
  • 5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management
  • 5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R
  • Experience building visualizations using large datasets and multiple data sources using Looker or Tableau
Job Responsibility
Job Responsibility
  • Craft and refine risk strategies which include defining risk controls, the customer experience and operational workflows with emphasis on minimizing the impact on customers, our brand and organizational critical metrics
  • Use data driven insights to seize opportunity, measure performance and to determine what is working and what is not working
  • Monitor performance of existing & new solutions and optimize to ensure desired results
  • Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval
  • Collaborate with partners in Platform, Operations and other internal teams, as well as external partners like data vendors to formulate and execute fraud risk solutions
  • Fulltime
Read More
Arrow Right

Senior Data Scientist, Analytics (Risk & Fraud)

Airwallex is building a centralised risk platform that will harness advanced ana...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
airwallex.com Logo
Airwallex
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
  • 5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management
  • 5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R
  • Experience building visualizations using large datasets and multiple data sources using Looker or Tableau
Job Responsibility
Job Responsibility
  • Craft and refine risk strategies which include defining risk controls, customer experience and operational workflows, with emphasis on minimizing the impact on customers, our brand and organizational critical metrics
  • Use data driven insights to seize opportunity, measure performance, and determine what is working and what is not working. Monitor performance of existing & new solutions and optimize to ensure desired results
  • Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval
  • Collaborate with partners in Platform, Operations and other internal teams, as well as external partners like data vendors to formulate and execute fraud risk solutions
  • Fulltime
Read More
Arrow Right

Campus Internship - Global Credit and Fraud Operations, Fraud Risk Management

This internship focuses on Fraud Risk Management, with an emphasis on process ma...
Location
Location
Malaysia , Kuala Lumpur
Salary
Salary:
Not provided
americanexpress.com Logo
Amex
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced proficiency in SQL for data querying
  • Exposure to data visualization tools such as Power BI, Tableau, etc.
  • Strong proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)
  • Strong analytical mindset with attention to detail
  • Excellent communication skills, both written and verbal, for stakeholder interactions and reporting
  • Ability to work independently and in a team environment, managing multiple tasks within deadlines
  • Bachelors - penultimate or final year of study
  • Employment eligibility to work with American Express in Malaysia is required
Job Responsibility
Job Responsibility
  • Partner with analyst to develop and refine reports that provide insights for decision making
  • Support the team in collecting, consolidating and analyzing data to identify key trends and insights
  • Document and visualize current business processes using tools like flowcharts, diagrams, and process modeling software (e.g., Microsoft Visio)
  • Assist in developing and maintaining reports, dashboards and performance update decks
  • Facilitate call listening sessions driving deeper understanding of fraud servicing strategies
  • Lead large value case reviews completing end to end detailed summaries, cross referenced against standard operating principals
What we offer
What we offer
  • A Flexible working model, with hybrid or onsite arrangements depending on the role and business needs
  • Comprehensive support for your holistic well-being
  • Many opportunities to learn new skills, develop as a leader, and grow your career
  • Fulltime
Read More
Arrow Right

Fraud Analytics Lead for Commercial Cards

The Fraud Analytics Lead is responsible for managing the Fraud Analytics functio...
Location
Location
Malaysia , Kuala Lumpur
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Data Science, Statistics, Finance, Computer Science, or a related field
  • 3-6 years of experience in managing team in fraud analytics, fraud risk operations, or MIS reporting or similar within banking, fintech, or payment services
  • Strong experience in fraud analytics or fraud risk management
  • Effective communication and stakeholder management abilities
  • Ability to review, validate, and interpret complex analytical outputs
  • Strong hands-on skills in SQL, Excel, and at least one analytics or scripting tool (e.g., Python, R, SAS)
  • Familiarity with BI tools such as Tableau, Power BI, or similar is preferred
  • Experience with fraud detection platforms or rule engines
Job Responsibility
Job Responsibility
  • Manage the Fraud Analytics function, overseeing end-to-end fraud risk analytics, and driving strategic initiatives to enhance fraud detection and prevention capabilities
  • Lead and manage a team of fraud analytics professionals, including oversight of workload distribution, performance management, and professional development
  • Foster a strong control environment and drive a culture of accountability, continuous improvement, and collaboration
  • Support talent development through structured training and coaching initiatives
  • Oversee the execution of fraud analytics activities, ensuring consistency, accuracy, and alignment with established standards
  • Review analytical outputs and provide direction on key fraud trends, patterns, and emerging risks
  • Ensure effective handling of fraud-related insights to support timely decision making
  • Ensure adherence to internal policies, control frameworks, and audit requirements
  • Maintain strong oversight of processes to ensure accuracy, completeness, and traceability
  • Identify process gaps and drive enhancements to strengthen risk management practices
  • Fulltime
Read More
Arrow Right

Assistant VP, Loan Fraud Risk Lead

Barclays Services LLC seeks Assistant VP, Loan Fraud Risk Lead in Wilmington, DE...
Location
Location
United States , Wilmington
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Subject matter expert for strategy management to prevent fraudsters and credit abusers from opening loans using own or stolen identities
  • Perform data analytics for designing and evaluating fraud strategies
  • Own and manage fraud rules, scores, and detection strategies
  • Deliver tangible business benefit and value
  • Support model performance evaluation
  • Conduct defect reviews of high fraud losses cases
Job Responsibility
Job Responsibility
  • Act as a subject matter expert for strategy management to prevent fraudsters and credit abusers from opening loans using own or stolen identities
  • Perform data analytics for designing and evaluating fraud strategies for their effectiveness and manage deliverables needed to implement
  • Own and manage fraud rules, scores, and detection strategies and work closely with fraud operations team
  • Deliver tangible business benefit and value (e.g. loss avoidance, expense optimization, enhanced customer experience)
  • Support model performance evaluation and work with governance teams for meeting governance requirements
  • Conduct defect reviews of high fraud losses cases to identify any gaps in Fraud strategy, case management, or make procedural adjustments
  • May telecommute pursuant to company policies
What we offer
What we offer
  • Eligible for incentives pursuant to Barclays Employee Referral Program
  • Fulltime
Read More
Arrow Right

Senior Fraud Strategy & Prevention Manager

At Vodafone, we’re not just shaping the future of connectivity for our customers...
Location
Location
Ireland , Dublin 2
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven strategic leadership experience, with the ability to set direction and deliver enterprise-level fraud or security initiatives with measurable impact
  • Strong stakeholder management skills, able to influence senior leaders, align cross-functional teams and drive shared outcomes
  • Experience building and managing external relationships with regulators, law enforcement, government bodies and industry partners
  • Confidence to challenge constructively, make difficult decisions and raise critical issues, even in complex or sensitive situations
  • Deep expertise in telecommunications fraud, with a strong understanding of fraud types, risks and countermeasures, combined with commercial awareness
  • Ability to make clear, effective decisions in fast-paced and high-pressure environments
  • Experience leading enterprise risk, compliance and transformation initiatives across multiple lines of defence
  • A customer-focused mindset, with a clear commitment to protecting customer trust and shaping best practice within the organisation and industry
  • Strong capability in leading teams—engaging, aligning and developing people to deliver results and build a high-performance culture
  • A track record of delivering outcomes through innovation, operational efficiency and continuous improvement, supported by effective use of data, analytics
Job Responsibility
Job Responsibility
  • Set the strategic direction for fraud management across the organisation, defining the approach to policies, tools and methodologies in line with regulatory requirements and industry practice
  • Drive continuous improvement in detection and prevention capabilities, reducing financial exposure while delivering measurable value to the business
  • Lead fraud risk assessments, ensuring compliance and protecting the organisation from legal, financial and reputational risk
  • Play a visible role in embedding a strong anti-fraud culture, influencing behaviours and ensuring ethical standards are lived across teams and partners
  • Lead how we protect and support customers—both through proactive awareness campaigns and by making sure those impacted by fraud receive the right experience and care
  • Build strong relationships with regulators, law enforcement and industry peers to help shape Ireland’s broader fraud agenda
  • Work closely with Technology, Finance and Commercial teams to embed fraud controls into product and proposition design from the outset
  • Lead a transformation roadmap that brings together stakeholders to deliver change at pace, using data, analytics, automation and emerging technologies to stay ahead of evolving threats
  • Build and develop a high-performing fraud function, ensuring the team, tools and operating model continue to evolve with the business
What we offer
What we offer
  • Hybrid ways of working and real focus on work-life balance
  • Competitive package including salary, bonus and a strong pension
  • €1050 flexible benefits allowance, plus access to comprehensive health and wellbeing support
  • Access to our on-site wellness centre and gym, alongside a wider wellbeing programme
  • Free mobile plan, device offers and exclusive discounts for you, your family and friends
  • Market-leading family policies and flexibility
  • Real opportunities for career growth through learning, development and internal progression
  • Fulltime
Read More
Arrow Right