Fraud Technical Data Analyst Job at Barclays (Northampton)

Fraud Data Analyst

As our Fraud Data Analyst, you'll be the person who secures the future of digita...

Location

Luxembourg , Milan

Salary:

Not provided

Satispay

Expiration Date

Until further notice

Requirements

Experience – You have between 3 and 7 years of professional experience, specifically within the risk, payments, or credit sectors
Technical Proficiency – You are highly skilled in SQL and Python for data analysis and strategy development
Domain Expertise – You have a solid understanding of payment fraud dynamics and experience working with real-time decisioning environments
Communication – You possess excellent communication skills and are fluent in English

Job Responsibility

Architect Real-Time Strategies – You will be responsible for our real-time decisioning engine, designing and deploying logic that combines ML scores with velocity features to make millisecond decisions
Precision Rule Development – Translate complex fraud patterns into high-performing rules, optimizing the balance between False Positive Rates (FPR) and Gross Fraud Loss
Deconstruct Payment Fraud – Proactively hunt for emerging schemes (ATO, social engineering) and turn these insights into end-to-end mitigation strategies
Optimize the Decisioning Stack – Partner with Product and Engineering to define analytical requirements for new features and third-party data signals
Calibrate ML & Heuristics – Work with Data Science to operationalize machine learning models, determining how to best "wrap" model scores with heuristic rules
Champion Frictionless UX – Analyze security measures to identify unnecessary hurdles, designing dynamic friction strategies for a seamless user experience
Strategic Performance Reporting – Monitor rule efficacy and portfolio health, presenting data-driven recommendations to senior leadership to evolve our risk appetite

What we offer

Health (Private insurance for you and your family, psychological support with Serenis, mental health workshops)
Financial resources (Stock Option Plan, Meal vouchers, Relocation support if you're moving countries)
Growth and development (Professional development programs, Internal mobility, Language courses with Preply)
Flexibility (Unlimited PTO, Hybrid working policy, Flexible working hours)
Family (Enhanced parental leave, Additional leave for child sickness)

Fulltime

Technical Data Analyst

A career in Data & Analytics at Barclays is a hub for top talent, from beginners...

Location

United Kingdom , Glasgow

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Data analysis – strong experience in data analysis, using tools such as Power BI to build interactive dashboards, analytical datasets, and operational or regulatory reporting
SQL and modern cloud data platforms and tooling – practical SQL experience for analysis, validation, and data profiling, with exposure to cloud data platforms (e.g. AWS, Snowflake)
Data governance, controls, and modelling awareness – understanding of data quality controls (lineage, completeness, accuracy, reconciliation, auditability) and common data modelling approaches
Business analysis and stakeholder collaboration – ability to translate business problems into clear user stories with well‑defined acceptance criteria, working effectively with engineers, product owners, and business stakeholders
Economic Crime domain knowledge – exposure to AML / Transaction Monitoring, Sanctions, Fraud, KYC, or Financial Crime controls and governance

Job Responsibility

Design and development of comprehensive reports and dashboards using various data visualization tools and techniques
Design, development and implementation of automated report generation processes for improved efficiency and timeliness
Identification and analysis of business requirements to define report content and format
Maintenance and updating of existing reports and dashboards to reflect changing business needs, including co-ordination of reporting template releases and related administrative tasks
Development of robust processes & controls for collating input data & seeking signoffs as required
Engagement with stakeholders as needed to ensure up to date data is incorporated into reporting

What we offer

Fitness Suite
fitness classes
an on-site GP
a bicycle store
rooftop bar
clubs and societies

Fulltime

Fraud & AML Data Analyst

Shape the future of trust in the age of AI. At Oscilar, we're building the most ...

Location

Salary:

Not provided

Oscilar

Expiration Date

Until further notice

Requirements

4+ years of experience as a data analyst, data scientist or a related field, with a focus on fraud prevention and/or anti-money laundering
Proficiency in Python and SQL
Knowledge of machine learning algorithms and statistical techniques, with a focus on their application in fraud detection
Experience working with large datasets and handling data-related challenges such as data cleaning, data quality, and data transformation and feature engineering at scale
Excellent analytical and problem-solving skills, with the ability to derive actionable insights from complex data
Strong communication skills, with the ability to explain complex concepts and findings to both technical and non-technical audiences
Ability to work independently and collaboratively in a fast-paced, dynamic startup environment

Job Responsibility

Analyze large-scale transaction, account, and behavioral datasets to identify fraud, AML, and abuse patterns across: Onboarding (synthetic identity, fake accounts, mule risk), Account activity (ATO, session hijacking, social engineering), Payments (card-not-present fraud, ACH/wire fraud, crypto typologies)
Develop risk segmentation, cohorts, and KPIs (fraud rate, approval rate, loss rate, false positives)
Evaluate rule-based and ML-driven decision strategies and quantify performance trade-offs
Partner with customers to: Diagnose their fraud and AML pain points, Interpret model outputs, alerts, and decision logic, Design and refine risk strategies using our platform
Produce customer-facing analytics, dashboards, and readouts that translate data into actionable risk decisions
Act as a trusted analytics advisor for customers implementing or scaling fraud programs
Work closely with Product and Engineering to: Define data requirements and success metrics for new features, Provide feedback on model explainability, rule tooling, and case workflows, Identify gaps in data, signals, or product capabilities based on real customer usage
Support experimentation (A/B tests, challenger strategies, rule tuning)
Contribute to internal and external documentation, including: Fraud and AML best practices, Lifecycle risk frameworks, Playbooks for onboarding, ATO, and payment fraud
Help shape standardized analytics and reporting frameworks across customers

What we offer

Competitive salary and equity packages, including a 401k
Remote-first culture — work from anywhere
100% Employer covered health, dental, and vision insurance with a top tier plan for you and your dependents (US)
Unlimited PTO policy
AI First company
both Co-Founders are engineers at heart
and over 50% of the company is Engineering and Product
Family-Friendly environment
Regular team events and offsites
Unparalleled learning and professional development opportunities

Fulltime

Graduate Trainee - Finance Analyst (Data Analyst)

This hybrid role leverages advanced data science and AI expertise to transform f...

Location

Malaysia , Penang

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

1-2 years of experience in data science, financial analytics, or business intelligence
Proficiency in Python, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch)
Experience with data visualization tools and big data technologies
Strong business acumen and ability to communicate technical concepts to non-technical stakeholders
Exposure to ERP systems (SAP S4 preferred), master data management, and financial reporting
Experience with process improvement, automation, and project-based work
Excellent stakeholder management and communication skills
Bachelor’s degree in Finance, Data Science, Accounting, Statistics, or a related field
Chartered Financial Analyst (CFA), Master of Business Administration (MBA), or Certified Public Accountant (CPA) is an advantage

Job Responsibility

Develop and deploy predictive models (e.g., credit risk, fraud detection, revenue forecasting) using machine learning algorithms and time-series techniques (ARIMA, Prophet, XGBoost, Random Forest)
Design and implement generative AI solutions (LLMs, GANs) for workflow automation, information retrieval, and decision support
Build and maintain scalable data pipelines and infrastructure using tools like Airflow, KNIME, Snowflake, Hadoop, and Spark
Automate reporting processes and improve data pipelines for accuracy and efficiency
Perform exploratory data analysis and create visualizations (Power BI, Tableau, Plotly, Matplotlib) to communicate insights to stakeholders
Manage master data across financial systems to ensure consistency and integrity
Collaborate with cross-functional teams to translate business needs into technical requirements and deliver impactful solutions
Ensure compliance with data governance, financial regulations, and quality standards
Continuously experiment with new AI tools and techniques to drive innovation and process improvement

What we offer

AMD benefits at a glance

Data Analyst

We are looking for a Data Analyst to join a team in Somerset, New Jersey and tur...

Location

United States , Somerset

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Hands-on experience in data analysis with a focus on fraud, risk, or investigative environments
Knowledge of suspected fraud indicators, fraud analytics techniques, and anti-fraud best practices
Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences
Experience supporting fraud investigation efforts through structured analysis and evidence-based insights
Strong analytical mindset with attention to detail and the ability to recognize meaningful anomalies and trends
Proficiency in working with data tools and reporting methods used to evaluate operational or fraud-related performance

Job Responsibility

Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk
Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions
Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts
Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure
Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources
Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives

What we offer

Medical
Vision
Dental
Life and disability insurance
401(k) plan

Data Analyst

We are looking for a Data Analyst to join a Long-term Contract opportunity based...

Location

United States , Memphis

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience supporting data entry, record maintenance, reporting, or data quality activities in a structured business environment
Strong attention to detail and a consistent approach to maintaining accurate records and documentation
Ability to work effectively within a ticket-based or request-driven workflow
Intermediate Excel knowledge, including filtering, lookups, and basic data analysis techniques
Clear communication skills with the ability to work across technical and non-technical teams
Background in data analysis, fraud analytics, fraud investigation, anti-fraud processes, or suspected fraud review is highly valued
Familiarity with audit support, compliance practices, process documentation, or standard operating procedures is preferred

Job Responsibility

Manage incoming data-related requests through a centralized ticket queue, ensuring timely follow-up and resolution
Update and maintain customer and operational records in enterprise systems with a strong focus on completeness, accuracy, and traceability
Examine source details before making changes and record updates clearly to support auditability and governance standards
Research data discrepancies that affect downstream functions such as reporting, pricing, order activity, or operational workflows, and drive issue resolution
Review current data handling procedures to identify recurring errors, process weaknesses, and opportunities to improve efficiency
Help create and refine process documentation and standard operating guidelines that promote consistent data management practices
Produce recurring reports and performance metrics related to data quality, service volumes, and issue trends for business stakeholders
Analyze exception findings and quality variances, including potential fraud-related patterns or compliance concerns, and summarize insights clearly
Partner with operations, finance, customer support, IT, and other internal groups to resolve complex data issues and improve user experience across systems

What we offer

Medical
Vision
Dental
Life and disability insurance
Company 401(k) plan

Fulltime

Data Analyst

We are looking for a Data Analyst to join a Long-term Contract opportunity based...

Location

United States , Memphis

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience supporting data entry, record maintenance, reporting, or data quality activities in a structured business environment
Strong attention to detail and a consistent approach to maintaining accurate records and documentation
Ability to work effectively within a ticket-based or request-driven workflow
Intermediate Excel knowledge, including filtering, lookups, and basic data analysis techniques
Clear communication skills with the ability to work across technical and non-technical teams
Background in data analysis, fraud analytics, fraud investigation, anti-fraud processes, or suspected fraud review is highly valued
Familiarity with audit support, compliance practices, process documentation, or standard operating procedures is preferred

Job Responsibility

Manage incoming data-related requests through a centralized ticket queue, ensuring timely follow-up and resolution
Update and maintain customer and operational records in enterprise systems with a strong focus on completeness, accuracy, and traceability
Examine source details before making changes and record updates clearly to support auditability and governance standards
Research data discrepancies that affect downstream functions such as reporting, pricing, order activity, or operational workflows, and drive issue resolution
Review current data handling procedures to identify recurring errors, process weaknesses, and opportunities to improve efficiency
Help create and refine process documentation and standard operating guidelines that promote consistent data management practices
Produce recurring reports and performance metrics related to data quality, service volumes, and issue trends for business stakeholders
Analyze exception findings and quality variances, including potential fraud-related patterns or compliance concerns, and summarize insights clearly
Partner with operations, finance, customer support, IT, and other internal groups to resolve complex data issues and improve user experience across systems

What we offer

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

Fulltime

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

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Fraud Technical Data Analyst

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