Lead Data Scientist

As a Data Scientist, you will join one of the first teams in the world looking a...

Location

United Kingdom , London

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx
You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this
You are keen to understand the data we work with and have a keen interest in how to model the behaviours it exposes
You are able to communicate with non-tech colleagues about technical matters, and you are comfortable putting yourself in other people's shoes
You are happy and excited to explore new programming languages, technologies, and techniques
You have a can-do attitude, can be pragmatic where necessary, and are excited to work as part of a specialist team
You can engage in constructive criticism and aren't afraid to have your code reviewed

Job Responsibility

Perform proof-of-concept projects, engage in product design and build prototypes
Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products
Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data
Think about how derived insights can be turned into new products and services we can offer to external clients
Be ready to learn new technologies as required and engage with legacy and future technology stacks, in the UK and internationally
Write white papers, patents, and client facing data visualisations
Consider the full impact of your work, including privacy, security, and regulation, as well as the performance of your code and the accuracy of your models

Fulltime

Lead Data Scientist – FinCrime

We are currently looking for a Lead Data Scientist to join a growing, specialist...

Location

United Kingdom , London

Salary:

95000.00 - 120000.00 GBP / Year

Data Idols

Expiration Date

Until further notice

Requirements

Strong background in data, analytics, or data science
Experience working within financial services, risk, or fraud-related domains
Ability to work with stakeholders and communicate insights effectively
Experience working with modern data tools and technologies

Job Responsibility

Leading data-focused projects across financial crime and fraud
Analysing large datasets to identify trends, risks, and opportunities
Supporting the design and improvement of monitoring and detection processes
Working closely with business and technical stakeholders to deliver solutions
Translating data insights into clear, actionable recommendations
Supporting junior team members and contributing to overall project delivery
Contributing to broader initiatives across the business where relevant

What we offer

Competitive salary (£95,000 – £120,000) + bonus
Hybrid working
Ongoing training and development
Clear progression opportunities
Exposure to a range of projects and clients
Supportive and collaborative team environment

Fulltime

Lead Data Scientist

We are currently looking for a Lead Data Scientist to join a growing, specialist...

Location

United Kingdom , London

Salary:

95000.00 - 120000.00 GBP / Year

Data Idols

Expiration Date

Until further notice

Requirements

Strong background in data, analytics, or data science
Experience working within financial services, risk, or fraud-related domains
Ability to work with stakeholders and communicate insights effectively
Experience working with modern data tools and technologies

Job Responsibility

Leading data-focused projects across financial crime and fraud
Analysing large datasets to identify trends, risks, and opportunities
Supporting the design and improvement of monitoring and detection processes
Working closely with business and technical stakeholders to deliver solutions
Translating data insights into clear, actionable recommendations
Supporting junior team members and contributing to overall project delivery
Contributing to broader initiatives across the business where relevant

What we offer

Bonus
Hybrid working
Ongoing training and development
Clear progression opportunities
Exposure to a range of projects and clients
Supportive and collaborative team environment

Fulltime

Financial Crimes Data Analytics & Intelligence Lead-Senior Vice President

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Gurugram

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms
Prior experience in AML domain, Mantas, or any other AML Transaction Monitoring systems will be preferred
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus
Model execution and governance experience in any domain will be preferable
Proven track record of building and deploying generative models-based solutions in production environments

Job Responsibility

Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms, design, develop and deploy generative AI based solutions for AML Transaction monitoring
Lead and manage the FCDAI team within AIM, recruit staff, lead professional development and build a high performing team
Act as Strategic Leader: Incumbents would be primarily responsible for supporting Business Execution activities for Independent Compliance Risk Management (ICRM) AML organization, implement analytical solutions
Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring
Lead as SME in the area of ML/AI/Gen AI
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy
Provide thought leadership for all data solutions that include designing, developing, and implementing Machine Learning/AI/Gen AI solutions that meet and exceed expectations
Communicate complex analytical concepts and results to both technical and non-technical audiences
Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines

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 , Bay Area

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

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

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

Select Country

Lead Data Scientist – Financial Crime

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?

Lead Data Scientist – Financial Crime

Lead Data Scientist

Lead Data Scientist – FinCrime

Lead Data Scientist

Financial Crimes Data Analytics & Intelligence Lead-Senior Vice President

Senior Data Scientist, AI & Model Risk

Senior Data Scientist, AI & Model Risk

Head of Engineering - Risk & Financial Crime

Head of Engineering - Risk & Financial Crime

Our AI answers in your language