Fraud Strategy Analyst Job at Barclays (Northampton)

Fraud Strategy Analyst

As a member of Ramp's Fraud Strategy team, you will leverage data to develop and...

Location

United States , New York, NY (HQ), San Francisco, CA

Salary:

92100.00 - 220000.00 USD / Year

Ramp

Expiration Date

Until further notice

Requirements

Minimum 2 years of experience in fraud risk management or quantitative strategy role
Minimum 2 years of experience using SQL, Python, or R for data retrieval and manipulation
Excellent written and verbal communication skills

Job Responsibility

Leverage external and internal performance data to come up with insights to develop best-in-class fraud policies
Deep dive into individual fraud events to perform root cause analyses, and combine the insights with a data-driven approach to develop fraud defenses
Partner with product, engineering, and design teams to execute fraud policies and features
Implement fraud risk metric monitoring by researching/resolving risk events, and developing levers that mitigate risk factors
Partner with data scientists to build and leverage fraud risk models in Ramp’s risk policy
Drive Ramp’s customer experience by diving deep into the flow of funds (repayments, chargebacks, etc.)
Research emerging underwriting and fraud trends to innovate on Ramp's decision systems and policies

What we offer

100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $10,000 per year)
Parental Leave
Unlimited AI token usage
Pet insurance
Centralized home-office equipment ordering for all employees

Fulltime

Senior Analyst, Fraud Strategy

As a Senior Analyst, Fraud Strategy, you will be the critical link between our b...

Location

Canada , Calgary

Salary:

Not provided

Neo Financial

Expiration Date

Until further notice

Requirements

5+ years of career experience with a heavy emphasis on fraud prevention, risk management, or fintech operations
Advanced proficiency in SQL is non-negotiable
Comfortable manipulating large datasets
Python/R experience is highly preferred
Proven ability to mentor junior analysts and step into leadership gaps
Deep understanding of credit risk, lending lifecycles, and how fraud mitigation impacts user friction and conversion
Ability to explain a complex technical vulnerability to a non-technical stakeholder
Thrive in fast-paced, iterative environments and comfortable with ambiguity

Job Responsibility

Take ownership of fraud initiatives, acting as a point of escalation and leadership for the Fraud team when needed
Partner with Data Science, Engineering, and Product teams to translate high-level business goals into robust technical specifications and agile user stories
Use SQL to interrogate complex datasets, identifying emerging fraud patterns and trends
Develop and maintain the source of truth documentation, including complex process flows and system diagrams that map our fraud ecosystem
Lead the development, testing, and deployment of next-generation fraud rules and machine learning model integrations
Provide the narrative—explaining the why behind the metrics to executive stakeholders

What we offer

Earn meaningful equity through stock options

Fulltime

Fraud Analyst

Global-e is looking for analytical people who can find the right way to solve a ...

Location

Israel , Petah Tikva

Salary:

Not provided

Global-e

Expiration Date

Until further notice

Requirements

Student with at least 2 years remaining until graduation – Must
Work availability of at least 3 shifts a week (including nights, weekends and Holidays) – Must
Experience with Excel and SQL – Must
High proficiency in English
Critical thinker with great attention to details
Ability to work independently in a fast-paced environment

Job Responsibility

Conduct risk assessments and manual reviews for online e-commerce transactions
Build, design and improve fraud prevention strategies and mechanisms
Identify and analyze fraudulent patterns and anomalies via data analysis

Parttime

Fraud Analyst

Join Barclays as a Fraud Analyst, where you will play a key role in protecting t...

Location

United Kingdom , Glasgow; Edinburgh

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Highly analytical, with a degree in a numerate discipline or equivalent practical experience demonstrating strong quantitative capability
Proficient in data analysis and interrogation, with experience using tools such as SAS, SQL, Python (or the aptitude to quickly develop these skills)
Ability to analyse large and complex datasets to identify trends, risks, and actionable insights to reduce fraud losses

Job Responsibility

Support the ongoing enhancement of fraud prevention capabilities
Manage and optimising fraud detection systems
Assess fraud risk, monitor losses, and evaluate control effectiveness to identify opportunities for mitigation
Leverage data-driven insights to analyse complex fraud trends, identify root causes, and develop forward-looking strategies to reduce fraud exposure and prevent future losses
Translate complex data into meaningful and actionable outcomes

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Senior Fraud Analyst

We are seeking a Senior Fraud Analyst for a long term contract opportunity in Sa...

Location

United States , San Francisco

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Significant experience with issuer-side transaction monitoring and card authorization fraud analysis
Ability to build, adjust, and optimize fraud rules within decisioning platforms
Strong analytical skills with experience identifying fraud trends and mitigation strategies
Working knowledge of card authorization workflows, decline codes, and interchange concepts
Experience with fraud prevention tools such as Falcon, Forter, Sardine, Sift, or similar platforms
Background supporting issuing banks, sponsor organizations, or card programs in a fast-paced environment

Job Responsibility

Review flagged transactions and make real-time authorization decisions based on risk indicators
Develop and optimize fraud rules, thresholds, and transaction controls
Analyze transaction activity to identify fraud trends and prevention opportunities
Monitor fraud losses, approval rates, and false positives to improve performance
Partner cross functionally with internal teams to strengthen fraud controls and decisioning
Utilize fraud tools and platforms to investigate alerts and support ongoing enhancements
Apply knowledge of card authorization workflows, decline responses, and interchange concepts
Identify operational gaps and recommend scalable process improvements in a fast-paced environment

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Senior Fraud Analyst

We are looking for a Senior Fraud Analyst to support transaction monitoring and ...

Location

United States , San Francisco

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Significant experience handling issuer-side transaction monitoring and authorization fraud analysis
Proven ability to create, adjust, and improve fraud rules based on performance trends and risk indicators
Strong analytical capability with experience turning transaction data into practical fraud mitigation actions
Working knowledge of card network authorization lifecycles, decline codes, and interchange fundamentals
Hands-on familiarity with fraud systems such as Falcon, Forter, Sardine, Sift, or comparable platforms
Prior experience within an issuing bank, sponsor organization, or card program management environment
Backgrounds focused only on merchant acquiring or payment processing are not sufficient for this role
Ability to succeed in a startup-style environment that requires ownership, adaptability, and cross-functional collaboration

Job Responsibility

Oversee day-to-day fraud review activity for card transactions, making informed real-time decisions on whether to clear or block suspicious authorizations
Develop and refine fraud controls by adjusting rule logic tied to transaction velocity, spending behavior, and merchant-related risk signals
Examine transaction patterns and fraud data to uncover new threats and recommend targeted monitoring strategies
Optimize the balance between fraud prevention and customer experience by reducing unnecessary declines while protecting against losses
Work closely with product, risk, and operations partners to improve authorization performance and strengthen fraud response processes
Use fraud platforms and decisioning tools to maintain effective monitoring workflows and enhance rule performance
Apply knowledge of card authorization processes, decline responses, and interchange considerations to strengthen fraud strategies
Contribute analytical insight in a dynamic environment where priorities may shift quickly and practical solutions are needed

Senior Fraud Analyst

Embark on a transformative journey as an Senior Fraud Analyst – AVP. At Barclays...

Location

United States , Wilmington

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Programming experience in SQL/SAS/Unix/Oracle programming or equivalent with adjacent tools such as Python
Experience in performing data and statistical analysis for fraud strategy development & management or similar risk management function
Ability to deliver data‑driven insights that enhance the effectiveness of fraud risk systems, toolkits, and related data processes—directly supporting the early detection of fraud and helping minimize fraud losses
Experience working closely with technical, strategy, and business teams to develop and prioritize key projects and resource plans that optimize existing capabilities

Job Responsibility

Identification, collection, extraction of data from various sources, including internal and external sources
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
Development and maintenance of efficient data pipelines for automated data acquisition and processing
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science

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

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