Engineering Manager, Machine Learning - Fraud Detection & Prevention Job at Adyen (Amsterdam)

Principal Architect, Payment & Fraud Systems

The Principal Systems Architect crafts scalable, secure, and high-performance pa...

Location

United States , Bellevue; Atlanta

Salary:

123800.00 - 223300.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

7-10 years of experience in a business environment, preferably within payments, fraud prevention, financial services, or e-commerce
7-10 years of experience as a software or systems architect, engineer, or programmer, with expertise in scalable, high-availability platforms
5+ years of experience in payments architecture, tokenization, and transaction processing, including real-time authorization, settlement, and reconciliation workflows
5+ years of experience in fraud prevention, risk management systems, and security architecture, with knowledge of fraud scoring models, ML driven, fraud detection, and chargeback management
4-7 years of experience in B2C online e-commerce systems architecture and design
4-7 years of experience with payment orchestration, gateway integrations, and acquirer connections, including experience with PCI DSS compliance and 3DS
4-7 years of experience using architecture and design of mobile web applications, including responsive design, hybrid models, and secure mobile payment solutions such as Apple Pay, Google Pay, or QR-based payments
4-7 years of experience with cloud-based payment processing architectures, including AWS, Azure, GCP, Kubernetes, or serverless computing models
Bachelor's Degree in Computer Science, Information Technology, or a related discipline
Technology certifications (such as Java, Microsoft, Oracle, AWS, TOGAF, or security-focused certifications like CISSP, CISM, PCI-ISA)

Job Responsibility

Help define software development processes and ensure alignment to security, compliance, and scalability methodologies for payment and fraud platforms
Stay up to date with emerging payment technologies, as well as fraud detection strategies, and regulatory requirements to continuously contribute to improvement of platform capabilities
Understand the business processes on assigned projects, particularly those related to payment acceptance, transaction routing, chargebacks, and fraud prevention
Accomplish organizational goals by accepting ownership for accomplishing new and different requests
explore opportunities to contribute to job accomplishments
Translate business requirements into technical requirements and assist other team members in implementing the solution
Design and implement real-time transaction refinement solutions that ensure high availability, reliability, and security
Provide architectural oversight for payment tokenization, fraud scoring models, and risk mitigation strategies across multiple channels
Collaborate with engineering, product management, security, and compliance teams to ensure flawless integration of payment and fraud technologies
Lead proof-of-concept (PoC) initiatives to assess new fraud detection techniques, machine learning models, or payment orchestration improvements

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Staff Data Scientist - Fraud & Risk

We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & ...

Location

United States

Salary:

140000.00 - 210000.00 USD / Year

Socure

Expiration Date

Until further notice

Requirements

Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field
or equivalent professional experience
8+ years of experience in data science, machine learning, or related fields, ideally in a high-growth tech or fintech environment
Experience in fraud prevention, risk modeling, or identity verification
Years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs/RNNs, and graph learning)
Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images
Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Deep understanding of machine learning algorithms, model evaluation techniques, and data pipeline development
Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus)
Demonstrated ability to proactively deliver complex outcomes, mentor others, and influence cross-functional decisions

Job Responsibility

Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs, and graph learning algorithms, to address complex fraud and risk challenges
Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images
Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production environments
Take ownership of project outcomes, data quality, and delivery timelines
proactively escalate issues and work collaboratively to resolve challenges
Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning
Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions
Conduct in-depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection
Present findings and recommendations to technical and executive stakeholders with clarity and influence
Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems

What we offer

Offers Equity
Offers Bonus

Fulltime

Senior Data Scientist

Microsoft’s Identity organization secures hundreds of millions of daily signins ...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Design, build, and operate machine-learning–based detections to prevent fraud and abuse across Microsoft Identity services
Lead signal and model design by defining features, labels, heuristics, and training approaches using supervised and unsupervised techniques
Analyze large-scale authentication, access, and traffic data to identify emerging abuse patterns and translate them into automated detections
Productionize models for low-latency online scoring, implementing guardrails, dynamic thresholds, and safety mechanisms to minimize customer impact
Design and analyze experiments (A/B tests, holdouts) to evaluate detection effectiveness and quantify tradeoffs such as false positives and false negatives
Define and monitor key metrics and dashboards to track model performance, data quality, and drift, enabling rapid iteration and response
Partner cross-functionally with engineering, product, and security teams to harden pipelines, align on success metrics, and support incident response and investigations
Document designs and findings clearly and contribute to reviews, readiness checks, and continuous improvement of detection systems

Fulltime

Product Manager - Risk and Compliance

At myPOS, we’re all about helping businesses grow and get paid. We make payments...

Location

Bulgaria , Sofia; Varna

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

5+ years of product management experience, ideally within fintech, banking, or payments
Proven track record designing or managing systems that detect or prevent fraud, financial crime, or transaction anomalies
Solid understanding of AML/CFT frameworks, payments regulations, and risk management principles
Analytical, data-driven decision-maker with experience in KPIs, metrics, and continuous improvement
Skilled communicator who can work across engineering, compliance, commercial, and external partners
Able to lead by influence, build relationships across disciplines, and drive alignment among teams with competing priorities
Curious, calm, and determined
comfortable operating in ambiguity in fast-moving agile contexts

Job Responsibility

Be curious and think from first principles to identify the highest impact opportunities to protect myPOS and our customers from fraud and financial crime
Turn complex ideas into clear, testable requirements that align teams and deliver results
Design scalable systems that detect and prevent fraud across payments, cards, transfers, and account security
Work with Data and Engineering to automate anti-financial crime controls intelligently, using analytics and machine learning where they add value
Partner with Compliance and Risk to turn regulation and best practices into smart, scalable solutions
Challenge outdated processes and drive simplification and automation
Promote a pragmatic, risk-aware culture across product and business teams
Stay curious about the payments landscape - from card schemes to digital wallets - to keep us ahead of emerging risks
Build strong, trusted relationships with Risk and Compliance teams
Manage priorities confidently to protect focus and quality

What we offer

Vibrant international team operating in hi-tech environment
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Annual individual training and development budget
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level
Excellent compensation package
25 days annual paid leave (+1 day per year up to 30)
Full “Luxury” package health insurance including dental care and optical glasses

Fulltime

New

Principal Engineer - Data Scientist

The Data-Driven Security & Analytics team at Wells Fargo is at the forefront of ...

Location

United States , ISELIN; CHARLOTTE; IRVING

Salary:

159000.00 - 305000.00 USD / Year

Wells Fargo

Expiration Date

March 11, 2026

Requirements

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Strong proficiency in Python (pandas, scikit-learn, XGBoost/LightGBM/CatBoost, PyTorch/TensorFlow, PySpark) and experience with ML experimentation frameworks (MLflow, Weights & Biases, etc.)
Deep understanding of supervised & unsupervised learning, imbalanced classification, anomaly/outlier detection, time-series analysis, and ensemble techniques
Hands-on experience deploying models into real-time production environments (e.g., via APIs, Kafka consumers, Spark Streaming, or low-latency serving platforms)
Solid SQL skills and comfort working with large-scale data warehouses/lakehouses (Snowflake, Databricks, BigQuery)
Proven track record of delivering measurable business impact (e.g., fraud loss reduction, false-positive rate improvement, detection rate lift) in regulated environments

Job Responsibility

Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
Srategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Research, design, develop, and productionize machine learning models for fraud detection (supervised, unsupervised, semi-supervised), anomaly detection, behavioral biometrics, network intrusion detection, account takeover prevention, and synthetic identity fraud
Build and maintain real-time and near-real-time scoring pipelines that deliver sub-second fraud/attack predictions during payment authorization, login, and high-risk interactions
Perform advanced feature engineering on complex, heterogeneous data sources (transactional, temporal, graph-based, textual threat intel, device & behavioral signals) to create high-signal features for model training and inference
Apply techniques such as graph neural networks, sequence modeling (LSTM/Transformer), ensemble methods, autoencoders, isolation forests, contrastive learning, and adversarial robustness to address evolving fraud and cyber threats

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

!

Data Scientist (Machine Learning)

In your role as Data Scientist (Machine Learning), you will design and build mac...

Location

United States , Wilmington

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

An academic background in quantitative or computational discipline (mathematics, statistics, computer science, engineering, or related fields) with exposure to machine learning concepts
Practical coding ability in Python and familiarity with machine learning libraries and distributed data frameworks
Considerable understanding of core principles in machine learning, statistical modelling, data analysis, and algorithmic thinking

Job Responsibility

Design and build machine learning solutions that strengthen the bank’s ability to detect financial crime, prevent fraud, and safeguard customers
Support the full model lifecycle—from inception and data exploration through supporting model deployment
Design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Design analytics and modelling solutions to complex business problems using domain expertise
Collaboration with technology to specify any dependencies required for analytical solutions
Development of high performing, comprehensively documented analytics and modelling solutions
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them
Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users
Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy
Ensure all development activities are undertaken within the defined control environment

Fulltime

Fraud Specialist

We’re seeking a Fraud Specialist to join our Trust & Safety team, which protects...

Location

United States , San Francisco; New York City

Salary:

128000.00 - 192000.00 USD / Year

Vercel

Expiration Date

Until further notice

Requirements

3+ years of experience in fraud or chargeback operations, investigations, or a related Trust & Safety vertical
Experience with user restriction systems and setting, tracking, and using KPIs to understand and optimize operations workflows and outcomes
Proven track record working cross-functionally to deliver impactful results
Strong attention to detail, and the ability to translate investigations into scaled systems
Worked with abuse detection systems that leveraged Machine Learning and/or LLMs for large-scale anti-fraud enforcement
Ability to take large data sets and distill key insights into actionable trends and strategies

Job Responsibility

Investigate abuse vectors causing financial loss or reputational risk to the business
Monitor, maintain, and improve fraud detection and anomaly alerting systems
Develop and refine operational workflows to scale fraud prevention efforts
Manage and monitor the performance of internal tooling and fraud rules
Work cross-functionally across, Operations, Engineering, Product, and Finance to mitigate areas of risk
Represent Trust & Safety during incident response and create mitigation processes

What we offer

Competitive compensation package, including equity
Inclusive Healthcare Package
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
Flexible Time Off
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed

Fulltime

Product Manager - Risk and Compliance

As a Product Manager - Risk and Compliance, you will own the roadmap end to end:...

Location

France , Lyon

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

5+ years of product management experience, ideally within fintech, banking, or payments
Proven track record designing or managing systems that detect or prevent fraud, financial crime, or transaction anomalies
Solid understanding of AML/CFT frameworks, payments regulations, and risk management principles
Analytical, data-driven decision-maker with experience in KPIs, metrics, and continuous improvement
Skilled communicator who can work across engineering, compliance, commercial, and external partners
Able to lead by influence, build relationships across disciplines, and drive alignment among teams with competing priorities
Curious, calm, and determined
comfortable operating in ambiguity in fast-moving agile contexts

Job Responsibility

Be curious and think from first principles to identify the highest impact opportunities to protect myPOS and our customers from fraud and financial crime
Turn complex ideas into clear, testable requirements that align teams and deliver results
Design scalable systems that detect and prevent fraud across payments, cards, transfers, and account security
Work with Data and Engineering to automate anti-financial crime controls intelligently, using analytics and machine learning where they add value
Partner with Compliance and Risk to turn regulation and best practices into smart, scalable solutions
Challenge outdated processes and drive simplification and automation
Promote a pragmatic, risk-aware culture across product and business teams
Stay curious about the payments landscape - from card schemes to digital wallets - to keep us ahead of emerging risks
Build strong, trusted relationships with Risk and Compliance teams
Manage priorities confidently to protect focus and quality

What we offer

Private Health Insurance (50% coverage)
Food allowance - 11,5 EUR per day (50% coverage)
25 days annual holiday
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Annual individual training and development budget
Refer a friend bonus
Teambuilding, social activities and networks on a multi-national level

Fulltime

Engineering Manager, Machine Learning - Fraud Detection & Prevention

Adyen

Location:
Netherlands , Amsterdam

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 05, 2026

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