Fraud Strategy Analyst Job at Barclays (Northampton)

Fraud Analyst

Do you have a passion for conducting research and monitoring transactions to ens...

Location

Australia , Melbourne

Salary:

Not provided

Easygo Gaming

Expiration Date

Until further notice

Requirements

Strong analytical skills to identify fraud patterns and trends
Familiarity with fraud detection software and tools
Understanding of financial transactions, payment methods, and fraud tactics
Excellent attention to detail and a proactive mindset
Strong communication skills for collaboration with internal and external stakeholders
Ability to manage and prioritise multiple investigations at once
Ability to strategise and implement fraud systems on a global scale
Proficiency with Microsoft Excel

Job Responsibility

Develop Fraud Prevention Strategies: Create and improve fraud detection strategies, Stay ahead of emerging fraud trends, Monitor tools and systems
Player Account Management: Handle account disputes, Blacklist suspicious accounts, Monitor and investigate suspicious activities, Analyse user behaviour
Communication with Stakeholders: Provide reports to management, Liaise with payment providers
Collaboration with Teams: Work with other departments, Provide training

What we offer

In-house baristas serving free coffee, tea, fresh juices, and smoothies
Daily catered breakfast and regular company-wide events
Snack walls and drink fridges on every floor
Fun /modern office spaces with pool tables, table tennis, gaming consoles, and an F1 simulator
Access to our Employee Assistance Program for you and your loved ones
9,000+ courses on our Learning & Development platform
One paid volunteer day per year
Weekly Wednesday massages by professional masseuses
Team budgets for lunches and activities to celebrate achievements
Social sports teams and participation in Corporate Games

Fulltime

AVP - SOC Cyber Fraud Analyst

The Security Operations Center Cyber Fraud Analyst is an intermediate level posi...

Location

Singapore , Singapore

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Ability to communicate effectively both orally and in writing
Strong knowledge of current Cyber Fraud trends including common Account Takeover techniques and banking malware
Deep understanding of Intrusion Detection analysis (TCP/IP, packet level analysis) as well as Application Layer Protocols (HTTP)
Advanced understanding of various operating systems (Windows/UNIX), and web technologies (focusing on Internet security)
Knowledge of cutting-edge threats and technologies affecting Web Applications
Experience with Big Data Technologies, ETL Tools, Data Warehouse and Business Intelligence technologies is preferred
Experience with any scripting language and Splunk is a plus
Experience with vulnerability assessment as well as penetration testing or forensic analysis fields is a plus
Certifications from EC-Council, GIAC, (ISC)² are preferred [CISSP, CEH, GCIA, GWAPT and CFE]
5-8 years of relevant experience in Cyber Fraud or SOC

Job Responsibility

The analyst performs monitoring, research, assessment and analysis of Digital Fraud Attacks leveraging various Security Event Monitoring platforms including Web Threat Detection, Real Time Fraud Risk Assessment, Big Data and Digital Application Monitoring tools (Splunk, SAS, Teradata, and enterprise real time fraud detection tools)
Follow pre-defined actions to handle BAU and high severity issues including escalating to other support groups
Execute daily ad hoc tasks or lead small projects as needed
Create and maintain operational reports for Key Performance Indicators and weekly and monthly metrics
Perform assessment as well as troubleshooting to help isolate technical issues with the integration of fraud monitoring technologies
Participate in daily and ad hoc conference calls to manage quality assurance and documentation related tasks
Identify areas for tuning use cases to enhance monitoring value
Engage with Fraud Policy, Operations, Strategy and other teams for early detection, prevention and mitigation of detected fraudulent activities

Fulltime

Fraud Analyst

The Fraud Analyst is responsible for detecting and preventing fraudulent activit...

Location

United States , Westchester

Salary:

Not provided

Ritchie Bros

Expiration Date

Until further notice

Requirements

At least two years of fraud detection and prevention experience, preferably in a financial institution
Certification in CFE, GCFE, CEH, CHFI or other forensic examination certifications would be an asset
Strong analytical and problem-solving skills with the ability to think creatively and "outside-of-the-box"
Excellent interpersonal, communication and report writing skills
Excellent presentation skills with the ability to communicate technical concepts to non-technical staff
An excellent understanding of regulatory compliance standards
Proficiency in Microsoft Office and other relevant software

Job Responsibility

Analyze buyer payment activity to identify patterns indicative of fraudulent activity
Investigate suspicious activities, collaborate with Global Internal Audit leadership, and report findings to the appropriate department (Operations, Finance, HR, Legal, Compliance, etc.)
Collaborate with other departments to implement fraud prevention strategies and identify areas for improvement
Document investigation findings and maintain accurate records
Conduct ongoing monitoring of fraud trends and patterns
Assist in the development of fraud prevention policies and procedures throughout the organization
Provide fraud awareness training to employees and stakeholders
Identifying trends and patterns, reporting and communicating related findings, and providing recommendations for improvements
Perform and assist with other Global Internal Audit initiatives as required and as directed by the VP Global Internal Audit

Fulltime

Fraud Strategy Manager

Navan is expanding its Fraud Risk Management organization to build world-class f...

Location

United States , Dallas

Salary:

Not provided

Navan

Expiration Date

Until further notice

Requirements

7–10+ years of experience in fraud strategy, fraud analytics, or financial crime risk management
Strong experience designing and managing fraud rules, policies, and decision strategies in production environments
Deep understanding of how machine learning models and features are used to inform fraud decisions
Proficiency in SQL and strong working knowledge of Python for analysis and strategy validation
Experience working with large-scale data platforms such as Snowflake, Databricks, Spark, or similar
Solid understanding of card payments, transaction flows, identity verification, and fraud typologies (ATO, synthetic identity, first-party fraud, third-party fraud, scams)
Demonstrated ability to partner effectively with Data Science, Engineering, Product, and Fraud Operations teams
Strong analytical mindset with the ability to translate complex data into clear, actionable strategy decisions
Excellent communication skills, including presenting strategy recommendations to senior leadership
Experience in fintech, payments, travel, or e-commerce environments preferred

Job Responsibility

Own and drive fraud strategy for key risk areas across travel and expense, balancing fraud loss reduction with customer experience
Design and evolve fraud rules, thresholds, and decision workflows, informed by data science models, ML features, and investigative insights
Partner closely with Data Science teams to translate machine learning model outputs and features into effective, explainable fraud strategies
Lead strategy development across onboarding, payments, expense submissions, and transaction monitoring
Apply advanced analytics techniques (trend analysis, segmentation, clustering, network analysis) to identify emerging fraud patterns and control gaps
Perform root-cause analysis and loss attribution, quantifying financial impact and prioritizing strategy improvements
Own strategy performance metrics, including fraud loss, approval rates, false positives, and customer friction
Collaborate cross-functionally with Fraud Operations to ensure strategies are operationally executable and continuously optimized
Partner with Engineering and Product to implement fraud strategies into real-time and batch decisioning systems
Drive experimentation and A/B testing of rules, thresholds, and model-driven strategies

What we offer

Generous medical plans, dental, and vision benefits with premiums covered by Navan
Various insurance options designed to cover each family's needs
Paid parental and bereavement leave
Subsidized commuter benefits
Mental health support
Connectivity stipends
Pet insurance

Fulltime

Fraud Analyst

Embark on a transformative journey as a Fraud Analyst at Barclays, where you'll ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A fraud analyst must possess strong analytical skills to identify patterns, trends, and anomalies in data that may indicate fraudulent activity.
Attention to detail is crucial for a fraud analyst to spot discrepancies and inconsistencies in financial records or transactions.
Effective communication skills are essential for a fraud analyst to collaborate with other team members, report findings to management, and communicate with external stakeholders.
Fraud analysts must be able to think critically and creatively to solve complex problems and identify solutions to prevent and detect fraud.

Job Responsibility

Execution of customer query support, including credit card inquires, account management and case resolution related to suspected fraud.
Collaboration with various internal stakeholders across function projects and law enforcement agencies in cases of potential fraud.
Development and implementation of fraud prevention strategies and procedures, including the use of fraud detection tools and technologies.
Support teams within the business operations function as needed, including risk management, compliance, and customer care.
Identification and implementation of trends and developments to regulatory requirements and internal policies related to fraud prevention and detection activities.
Management and development of KPIs to measure the effectiveness of customer care fraud prevention operations, utilising data and technology to support the identification of areas that require improvement.
Monitoring financial transactions for potential fraudulent and suspicious activities and conduct investigations and report fraud incidents.

Fulltime

Credit Business Analyst, Banking Fraud

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park; New York; Washington

Salary:

166000.00 - 195000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5–7 years of experience in fraud strategy, with a strong track record in fraud detection and prevention for banking products like checking or savings
Strong quantitative skills and a problem-solving mindset
comfortable working with large datasets to inform strategy
Hands-on experience with SQL, R, or Python (including tools like Pandas and scikit-learn)
Excellent communication skills with the ability to distill complex insights for varied audiences
A Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field

Job Responsibility

Design and lead initiatives that reduce fraud across our banking ecosystem using data, technology, and customer-back insights
Collaborate cross-functionally with product, operations, and engineering teams to build a robust fraud defense strategy
Monitor real-time fraud activity and maintain a dynamic feedback loop to continuously improve detection capabilities
Own strategy and execution of fraud mitigation for ACH, wire transfers, and other money movement types
Communicate strategic decisions clearly and effectively with senior stakeholders across the business

What we offer

Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Motor Pricing Analyst

DLG is evolving. Across every part of our business, teams are embracing new oppo...

Location

United Kingdom , London

Salary:

Not provided

Direct Line Group

Expiration Date

Until further notice

Requirements

Strong knowledge of Python and SQL
Excellent analytical and problem‑solving skills, with the ability to communicate technical concepts clearly
Insurance knowledge and understanding, ideally gained within a data analysis environment
Transferable analytical experience from roles such as MI Analyst, Insight Analyst, Data Analyst, Claims Analyst, Risk Analyst, Fraud Analytics Analyst, Underwriting Analyst or Portfolio Analyst
A numerate degree such as Mathematics, Statistics, Computing, or a related subject

Job Responsibility

Building and maintaining pricing models in Python and SQL
Analysing performance data to identify trends, risks and opportunities
Supporting the delivery of pricing changes through Radar
Ensuring decisions, assumptions and outcomes are clearly documented
Partnering with colleagues across Trading, Risk and Underwriting to support pricing strategy
Developing efficient code and processes to improve the accuracy, speed and reliability of analysis

What we offer

9% employer pension contribution
Annual company bonus of up to 10%
50% off home, motor and pet insurance, plus free Green Flag breakdown cover
Generous holiday allowance
Flexible benefits package, including optional health and dental insurance
EV car scheme, enabling colleagues to lease a new electric or plug‑in hybrid vehicle in a tax‑efficient way
Buy‑as‑you‑earn share scheme
Employee discounts and cashback
22 days holiday rising to 30 days depending on your role. Plus the chance to buy and sell up to 5 days
Income protection on 50% of your salary for 5 years

Fulltime