Integrated Financial Crime Model Developer Job at Barclays (London)

Integrated Financial Crime - Data Scientist

Join us at Barclays as an Integrated Financial Crime Data Scientist. You will de...

Location

United Kingdom , London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Strong experience in machine learning and advanced analytics
Advanced Python skills for data processing and model development
Proven experience working with Databricks
Solid software engineering practices, including version control, testing and deployment

Job Responsibility

Design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank
Contribute across the full model lifecycle, from design and development through to deployment and optimisation
Deliver new analytical solutions aligned to strategic priorities, while also maintaining and improving the robustness, accuracy and performance of existing models

What we offer

Cycle hire and parking areas
Shower and changing facilities
CoSpace co-working space
Wellness Suite with gym, exercise studios, personal training sessions and massage therapy
Advanced trading floors

Fulltime

Head of Engineering - Risk & Financial Crime

Adyen is building out its capabilities in data-driven risk management to combat ...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

Proven experience leading and mentoring multiple and multi-disciplinary Engineering Teams
Significant experience in building and deploying data-driven products and systems at scale, ideally in a domain involving Risk, Fraud, or Financial Crime
Deep understanding of the machine learning lifecycle, from data ingestion and feature engineering to model training, deployment, monitoring, and experimentation
Strong technical background with experience in data processing, distributed systems, and relevant programming languages (e.g., Java, Python)
Familiarity with applying advanced AI techniques, such as Generative AI and Large Language Models, to solve real-world problems, particularly in automating complex workflows or analyzing unstructured data
Experience working closely with non-technical stakeholders, such as Operations Teams, Legal/Compliance experts, and Product Managers
Excellent communication skills with the ability to articulate complex technical concepts and strategies to diverse audiences
Ability to balance short-term needs with a long-term strategic vision
Experience in hiring and developing technical talent

Job Responsibility

Lead and mentor multiple multidisciplinary Engineering Teams in Amsterdam focused on data-driven risk and financial crime products
Drive the technical strategy and execution for building scalable and resilient systems for financial crime detection and mitigation, covering the entire business lifecycle on the platform
Oversee the development and deployment of machine learning models and data pipelines for real-time and batch risk assessment
Explore and implement applications of cutting-edge AI technologies, including GenAI and LLMs, to automate manual investigation tasks, improve detection accuracy, and provide rich context for human reviewers and models
Collaborate closely with expert investigators and operations teams to understand their workflows, integrate human feedback into automated systems, and ensure tools meet their needs
Partner with Product Managers, Data Scientists, and other Engineering Teams globally to define product requirements, prioritize initiatives, and integrate risk capabilities into Adyen's platform
Ensure systems are built with robust monitoring, explainability, and governance frameworks to meet regulatory requirements and maintain high quality and fairness
Stay informed about the latest advancements in financial crime typologies, risk management techniques, and AI/ML technologies, applying relevant insights to Adyen's products

Head of Engineering - Risk & Financial Crime

Adyen is building out its capabilities in data-driven risk management to combat ...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

Proven experience leading and mentoring multiple and multi-disciplinary Engineering Teams
Significant experience in building and deploying data-driven products and systems at scale, ideally in a domain involving Risk, Fraud, or Financial Crime
Deep understanding of the machine learning lifecycle, from data ingestion and feature engineering to model training, deployment, monitoring, and experimentation
Strong technical background with experience in data processing, distributed systems, and relevant programming languages (e.g., Java, Python)
Familiarity with applying advanced AI techniques, such as Generative AI and Large Language Models, to solve real-world problems, particularly in automating complex workflows or analyzing unstructured data
Experience working closely with non-technical stakeholders, such as Operations Teams, Legal/Compliance experts, and Product Managers
Excellent communication skills with the ability to articulate complex technical concepts and strategies to diverse audiences
Ability to balance short-term needs with a long-term strategic vision
Experience in hiring and developing technical talent

Job Responsibility

Lead and mentor multiple multidisciplinary Engineering Teams in Amsterdam focused on data-driven risk and financial crime products
Drive the technical strategy and execution for building scalable and resilient systems for financial crime detection and mitigation, covering the entire business lifecycle on the platform
Oversee the development and deployment of machine learning models and data pipelines for real-time and batch risk assessment
Explore and implement applications of cutting-edge AI technologies, including GenAI and LLMs, to automate manual investigation tasks, improve detection accuracy, and provide rich context for human reviewers and models
Collaborate closely with expert investigators and operations teams to understand their workflows, integrate human feedback into automated systems, and ensure tools meet their needs
Partner with Product Managers, Data Scientists, and other Engineering Teams globally to define product requirements, prioritize initiatives, and integrate risk capabilities into Adyen's platform
Ensure systems are built with robust monitoring, explainability, and governance frameworks to meet regulatory requirements and maintain high quality and fairness
Stay informed about the latest advancements in financial crime typologies, risk management techniques, and AI/ML technologies, applying relevant insights to Adyen's products

Head of Financial Crime

Responsible for oversight of the 2nd line financial crime team and maintaining a...

Location

United Kingdom , London

Salary:

Not provided

Social Value Portal Ltd

Expiration Date

Until further notice

Requirements

Proven financial crime expertise, preferably with a strong understanding of the Lloyd’s market and framework
Regulator relations experience in an insurance-related and/or financial services company/organisation
Expert knowledge of financial crime regulation, policies and procedures, particularly UK/EU/UN/OFAC Sanctions regimes, the Economic Crime and Corporate Transparency Act (ECCTA), the UK Proceeds of Crime Act Section 7, FCA SYSC Handbook 6.3, FCA Financial Crime Guide Parts 1 & 2, UK Bribery Act, UK Fraud Act, JMLSG Guidance, and Suspicious Activity Reporting
Degree level educated
and/or Relevant professional qualification and experience
Ability to build strong partnering relationships with a wide range of stakeholders
Ability to interact professionally and with credibility and manage expectations of senior management and key stakeholders
Proven management experience, with experience of leading / managing strategic change
Experience of dealing with financial crime regulatory agencies, including OFAC, OFSI & EU, in relation to sanctions issues
Experience of working in a global and fast paced business environment is essential

Job Responsibility

Line management of the financial crime team to include regular team meetings, 1:1s, action setting and tracking, performance assessment and associated responsibilities
Member of appropriate governance forums/committees as required
Management of any relevant external advisors as required
Manage and maintain an effective Financial Crime function supporting and protecting the group against the six pillars of financial crime risk (Bribery & Corruption, Fraud, Market Abuse, Money Laundering, Sanctions Evasion and Tax Evasion) and related reputational risk ensuring that the needs of all stakeholders are met
Ensure the resourcing model, quantity and quality of resources enable the Financial Crime Function to meet the group’s needs
Develop and maintain Beazley’s financial crime policy in line with legislative and regulatory obligations, ensuring the policy remains up to date
Produce regular financial crime reports and present to appropriate Boards and Committees when required
Act in an advisory capacity to support business heads and management focus on the financial crime risk in individual business areas
Assist senior management in development and maintaining an effective financial crime compliance culture
Ensure that the firm’s risk management policies, risk assessment profile and their application are adequately documented and approved by Beazley’s Executive Committee and Board of Directors

New

Head of AML, Services

This role requires a strategic, execution-focused leader who demonstrates Citi's...

Location

United States , New York

Salary:

250000.00 - 500000.00 USD / Year

Citi

Expiration Date

June 22, 2026

Requirements

15+ years of relevant experience
10+ years of managerial experience
Prior knowledge of payment related products and infrastructure is a must, the candidate will need to show deep knowledge of Foreign Correspondent banking, eCommerce, Trade finance, Custody, Digital Assets and 3rd party Cross border payments generally
Advanced degree (e.g. JD, MBA) or AML certification
Experience in a financial institution, specifically in AML
Experience in managing regulatory exams and relationships with examiners and auditors
Extensive knowledge of appropriate regulatory requirements including local and US laws, international and industry standards
Extensive knowledge of AML regulations, risks, and appropriate controls
Demonstrated leadership and motivational skills
Ability to work with regional and global partners, and influence and lead people across culture and senior level

Job Responsibility

Lead and develop a global team of AML professionals, driving performance, accountability, and continuous talent development
Own and implement the firm-wide AML Risk Management framework, including policy, strategy, and the ongoing delivery of the AML Compliance Risk Management (ACRM) program across clients, products, and geographies
Lead, coach, and develop a global team of AML professionals, fostering a culture of accountability, inclusion, and continuous development
Build leadership capability across the organization, ensuring strong succession pipelines and depth of expertise
Drive high performance standards, reinforcing ownership and accountability for risk and control outcome
Act as a senior AML risk manager and thought leader, delivering risk-based, cost-effective outcomes across multi-year strategic and control initiatives
Shape forward-looking AML strategies, policies, and training programs, anticipating and responding to evolving financial crime risks across emerging technologies, new products, and changing regulatory landscapes
Provide comprehensive AML oversight for payments, digital assets, and emerging technologies (including blockchain, stablecoins, deposit tokens, and multi-jurisdiction payment flows), ensuring risks are effectively identified, assessed, and mitigated
Lead the development and implementation of robust AML controls for high-volume, complex, cross-border, multi-currency and 24/7 transaction environments, including strong enhanced due diligence (EDD) and monitoring frameworks for higher-risk products, clients, and activities
Proactively identify, assess, and mitigate AML risks associated with new Services product offerings, interoperability initiatives, and the integration of emerging technologies into existing payment and liquidity management platforms, ensuring compliance with evolving regulatory landscapes

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

!

New

Head of AML, Services

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of relevant experience
10+ years of managerial experience
Prior knowledge of payment related products and infrastructure is a must, the candidate will need to show deep knowledge of Foreign Correspondent banking, eCommerce, Trade finance, Custody, Digital Assets and 3rd party Cross border payments generally
Advanced degree (e.g. JD, MBA) or AML certification
Experience in a financial institution, specifically in AML
Experience in managing regulatory exams and relationships with examiners and auditors
Extensive knowledge of appropriate regulatory requirements including local and US laws, international and industry standards
Extensive knowledge of AML regulations, risks, and appropriate controls
Demonstrated leadership and motivational skills
Ability to work with regional and global partners, and influence and lead people across culture and senior level

Job Responsibility

Lead and develop a global team of AML professionals, driving performance, accountability, and continuous talent development
Own and implement the firm-wide AML Risk Management framework, including policy, strategy, and the ongoing delivery of the AML Compliance Risk Management (ACRM) program across clients, products, and geographies
Lead, coach, and develop a global team of AML professionals, fostering a culture of accountability, inclusion, and continuous development
Build leadership capability across the organization, ensuring strong succession pipelines and depth of expertise
Drive high performance standards, reinforcing ownership and accountability for risk and control outcome
Act as a senior AML risk manager and thought leader, delivering risk-based, cost-effective outcomes across multi-year strategic and control initiatives
Shape forward-looking AML strategies, policies, and training programs, anticipating and responding to evolving financial crime risks across emerging technologies, new products, and changing regulatory landscapes
Provide comprehensive AML oversight for payments, digital assets, and emerging technologies (including blockchain, stablecoins, deposit tokens, and multi-jurisdiction payment flows), ensuring risks are effectively identified, assessed, and mitigated
Lead the development and implementation of robust AML controls for high-volume, complex, cross-border, multi-currency and 24/7 transaction environments, including strong enhanced due diligence (EDD) and monitoring frameworks for higher-risk products, clients, and activities
Proactively identify, assess, and mitigate AML risks associated with new Services product offerings, interoperability initiatives, and the integration of emerging technologies into existing payment and liquidity management platforms, ensuring compliance with evolving regulatory landscapes

Fulltime

New

Model/Anlys/Valid Officer

Location

United States , Tampa

Salary:

130449.69 - 180218.00 USD / Year

Citi

Expiration Date

August 03, 2026

Requirements

Master’s degree or foreign equivalent in Engineering (any), Data Science, Business Analytics, Mathematics, or related quantitative field
1 year of experience as a Data Analyst, Business Analyst, Banking Analyst, Officer, or related position involving AML and KYC risk and control procedures for banking services
Alternatively, will accept a Bachelor’s degree in the stated fields and 3 years of the specified experience
Fraud detection for money laundering/terrorist financing
Customer risk scoring and transaction monitoring rules and models for AML, KYC
Business Intelligence, Data Visualization for risk assessment, data reporting and KPI dashboards
Exploratory data analysis including empirical data distributions, data reconciliation, missing data imputation, and outlier analysis
Statistical analysis including sampling and supervised and unsupervised machine learning
Analytical programming using SQL,SAS, Python, Spark and Hadoop Ecosystem, VBA in Excel, XML

Job Responsibility

Apply quantitative and qualitative data analysis methods to extract, transform and analyze AML/KYC data using SAS, R programming, Python, and SQL
Perform validation of the bank’s KYC customer risk scoring tools and Anti-Money Laundering (AML) transaction monitoring tools to ensure regulatory compliance and establish risk and controls across multiple regions and lines of business, including Retail, Institutional, Credit Cards, Markets and Private Banking
Develop, enhance and validate quantitative methodologies for measuring and analyzing financial crimes risk – AML/KYC, ensuring the rule-based and machine learning (supervised and unsupervised) techniques are robust and effective
Serve the bank’s lines of defense by providing effective challenge to AML/KYC monitoring tools throughout their lifecycle, ensuring that conceptual soundness, technical specifications, data quality, and performance are validated in accordance with regulatory requirements
Evaluate theoretical construction and implementation of tools, challenging mathematical formulation, variables selection, threshold setting and code using statistical tests, ensuring assumptions and limitations are documented to assess fit-for-purpose
Data preparation and validation for modeling and analysis, handling of missing values and outliers, variable transformations, and feature pre-selection for tool stability
Automate data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes using Python
Establish robust controls around data quality, continuous monitoring of data quality flowing into AML tools
checks for completeness, anomalies, drifts, and integrity within core banking and data systems Mantas and EAP/Hadoop
Execute threshold analysis to evaluate and optimize production thresholds for AML monitoring scenarios, exploring data distributions and coverage analysis using SAS, R, Python or SQL to emulate and simulate tool logic

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Senior Data Scientist, AI & Model Risk

It all started with an idea at Block in 2013. Initially built to take the pain o...

Location

United States , New York

Salary:

139000.00 - 225000.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

A minimum of 5 years of related experience with a Bachelor’s degree in a quantitative field
or 3 years and a Master’s degree
or a PhD without experience
or equivalent work experience in risk management, model risk management, or AI risk management
Proficiency in Python or similar languages for evaluating AI system behavior, writing test scripts, or analyzing model outputs
Strong understanding of generative AI architectures
Including LLMs, transformer models, RAG systems, and agentic AI, plus hands-on experience interacting with and critically evaluating these systems, sufficient to assess design decisions, output quality, and limitations
Understanding of interagency model risk management principles, including SR 26-2
Knowledge of AI testing methodologies, ex. functional testing, bias testing, adversarial testing, and performance monitoring plus familiarity with data privacy and security principles (encryption, access controls, data classification)
Excellent written and verbal communication and the ability to translate complex technical AI concepts for non-technical stakeholders, senior management, and regulators

Job Responsibility

Lead end-to-end AI Risk Assessments for generative AI and LLM use cases across the Bank
Embedding in Block's enterprise-wide GenAI review process, coordinating cross-functional SMEs (Legal, Compliance, InfoSec, Data Governance, MRM, ERM, BRC, TPRM, Financial Crimes), and managing timelines to ensure reviews are completed within SLA
Review AI system design and documentation
Including retrieval sources, assumptions, limitations, fallback plans, guardrail configurations, and change management procedures — across banking use cases such as fraud detection, BSA/AML compliance, credit decisioning, and customer-facing applications, ensuring governance controls are commensurate with each use case's risk profile
Assess pre-deployment testing for adequacy inclusive of output integrity, hallucination detection, boundary and edge case testing, ethical and safety guardrails, bias testing, A/B testing, volume testing, and UAT — designing and conducting independent testing as needed
Evaluate ongoing monitoring plans for comprehensiveness - including accuracy, hallucination rates, drift detection, sensitive data controls, reliability metrics, CSAT, acceptable performance ranges, and documented remediation procedures
Develop and maintain templates, tools, and procedures to support the effectiveness and scalability of the AI Risk Governance Program
Monitor the evolving regulatory landscape for AI in banking — including FFIEC IT Examination Handbook standards, FDIC Financial Institution Letters, interagency statements, and the anticipated RFI on AI model risk management referenced in SR 26-2 — and incorporate emerging guidance into the AI risk governance program
support SFS's response to regulatory inquiries as needed

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

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Integrated Financial Crime Model Developer

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