Fraud Analytics - Data Scientist Job at Barclays (Glasgow)

Senior Data Scientist, Analytics (Risk & Fraud)

Airwallex is building a centralised risk platform that will harness advanced ana...

Location

China , Shanghai

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management
5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R
Experience building visualizations using large datasets and multiple data sources using Looker or Tableau

Job Responsibility

Craft and refine risk strategies which include defining risk controls, the customer experience and operational workflows with emphasis on minimizing the impact on customers, our brand and organizational critical metrics
Use data driven insights to seize opportunity, measure performance and to determine what is working and what is not working
Monitor performance of existing & new solutions and optimize to ensure desired results
Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval
Collaborate with partners in Platform, Operations and other internal teams, as well as external partners like data vendors to formulate and execute fraud risk solutions

Fulltime

Senior Data Scientist, Analytics (Risk & Fraud)

Airwallex is building a centralised risk platform that will harness advanced ana...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management
5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R
Experience building visualizations using large datasets and multiple data sources using Looker or Tableau

Job Responsibility

Craft and refine risk strategies which include defining risk controls, customer experience and operational workflows, with emphasis on minimizing the impact on customers, our brand and organizational critical metrics
Use data driven insights to seize opportunity, measure performance, and determine what is working and what is not working. Monitor performance of existing & new solutions and optimize to ensure desired results
Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval
Collaborate with partners in Platform, Operations and other internal teams, as well as external partners like data vendors to formulate and execute fraud risk solutions

Fulltime

Data Scientist - Fraud Detection

Are you looking for a new challenge? Fancy helping us shape the future of motor ...

Location

Spain , Madrid

Salary:

Not provided

Prima

Expiration Date

Until further notice

Requirements

Extensive experience (3+ years) in data science or applied machine learning, leading end-to-end initiatives in complex technical domains and delivering measurable business impact
Strong analytical and quantitative mindset able to translate data into insights, assess model performance, and guide decision-making with evidence and clarity
Structured problem solver skilled at framing ambiguous challenges, defining success metrics, and communicating results to both technical and non-technical audiences
Strong Python programming skills, especially in the data domain, and fluent use of Git
Knowledge of Spark, SQL or any other data-oriented programming language and proficiency with standard data wrangling and modeling libraries (Pandas, Sklearn, Keras, XGBoost, LightGBM, etc.)

Job Responsibility

Design and improve fraud detection systems that prioritize high-risk claims, optimizing the trade-off between detection accuracy and operational efficiency
Collaborate across teams and functions, working closely with fraud analysts, engineers, and product managers
Develop deep expertise in fraud dynamics, identifying emerging fraud patterns, understanding how they evolve across the insurance lifecycle, and translating these insights into effective detection and prevention strategies, for example identifying suspicious networks of related claims, synthetic entities, or anomalous behavioral patterns

What we offer

Hybrid working, with a mix of home and office days
Up to 30 days per year work from anywhere
Access to learning resources, mentorship and a growth plan tailored to you
Private healthcare
Gym discounts
Wellbeing programs
Mental health support

Fulltime

BANAMEX - Data Analytics & Scientist Jr. - Officer

The MIS Analyst is a developing professional role. Applies specialty area knowle...

Location

Mexico , Ciudad De Mexico

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

0-2 years relevant experience
High proficiency in Excel and aptitude in Access, Word, Visual Basic Prior experience with SAS Knowledge of computer language is preferred
High degree of accuracy and eye for detail
Ability to establish effective working relationship amongst staff and foster group cohesiveness and teamwork
Bachelor’s/University degree or equivalent experience

Job Responsibility

Responsible for the management of information and reporting systems
Should be able to provide intelligent analysis by using all available and relevant data
Advanced automation skills and reporting
Ensures the data integrity according to information security and integrity policies
Correct design and execution of control mechanisms
Generates and maintains documentation of existing reports or MIS
Appropriately assess risk when business decisions are made
Manejar, transformar y analizar grandes volúmenes de datos internos y externos
Construir datasets utilizando herramientas como SQL, SAS, Python (incluyendo PySpark)
Documentar requerimientos, procesos de extracción, limpieza y validación de datos

Fulltime

Senior Data Scientist - Fraud

The Data team within Plaid’s Fraud organization builds the machine learning syst...

Location

United States , Seattle

Salary:

214800.00 - 286800.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of total experience
At least 2–3 years working deeply with product analytics, machine learning, experimentation, or data-driven products
Strong proficiency in SQL and Python
Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies
Skilled in designing, building, and maintaining dashboards and core product performance metrics
Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems
Excellent communicator with strong stakeholder-management skills across diverse teams

Job Responsibility

Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements
Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making
Analyze complex datasets to uncover clear, actionable insights that shape product direction
Partner with go-to-market teams to demonstrate the technical and business value of our products to customers

Fulltime

Data Scientist, Fraud

We are looking for an ambitious Data Scientist to join our Fraud and Payments te...

Location

Estonia , Tallinn

Salary:

Not provided

Bolt

Expiration Date

Until further notice

Requirements

Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems
Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and untap growth opportunities
Passion for continuous learning and a collaborative mindset, valuing open technical discussions and peer-to-peer knowledge sharing
Mastery in Python and SQL
Previous experience in fraud detection, payment optimization or related financial services is a plus
Strong academic background in a quantitative field

Job Responsibility

Working with a technical stack consisting of Python, Docker, SageMaker, Airflow and Databricks
Building and improving fraud prediction models using different predictive approaches
Exploring techniques that can improve the way we manage payments, including Causal and Reinforcement Learning
Handling the entire lifecycle from project conceptualization and notebook prototyping to productizing and maintaining a machine learning based solution or other automation that might be serving hundreds of millions of users in production
Leveraging our in-house data and model platform that allows you to launch new projects in a matter of days
Deploying and A/B testing solutions for millions of users, enabling fast feedback and measurable added value to customers

What we offer

Get a rewarding salary and stock option package that lets you focus on doing your best work
Enjoy the flexibility of working in a hybrid mode
Take care of your physical and mental health with our wellness perks

Data Scientist - Fraud prevention

You will be in charge of developing next-generation fraud prevention systems by ...

Location

Italy , Milan

Salary:

Not provided

Subbyx

Expiration Date

Until further notice

Requirements

Minimum of 4 years of experience in a similar role in Data Science or Machine Learning
Degree in Mathematics, Physics, Computer Science, Statistics or similar
High proficiency in Python
Experience with Statistical Analysis and Machine Learning
Analytical and data oriented
Excellent knowledge of the English language
Team-work and goal-oriented approach
Ability to work independently with high problem solving skills

Job Responsibility

Train deploy and maintain sophisticated Machine Learning models to spot and block potential frauds
Develop, enhance, and optimize methods for data acquisition, extraction, and processing to ensure the availability of high-quality, relevant data for fraud prevention
Research and experiment alternative approaches to combat fraudulent attempts
Analyze and quantify behavioural patterns of our customer base in order to identify relevant patterns
Apply pattern recognition and anomaly detection techniques to identify unusual activities and prevent potential fraud across our platform

What we offer

Competitive salary
Welfare
Stock options and performance bonuses
Meal vouchers
Welfare & Wellbeing
Insurance policy
Training
Smart working
Women’s wellbeing
Electric mobility

Fulltime

Data Scientist - Fraud

The Data team within Plaid’s Fraud organization builds the machine learning syst...

Location

United States , New York

Salary:

162000.00 - 222000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

3–5 years of total experience
at least 2–3 years working deeply with product analytics, experimentation, or data-driven products
strong proficiency in SQL and Python
hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies
skilled in designing, building, and maintaining dashboards and core product performance metrics
capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems
excellent communicator with strong stakeholder-management skills across diverse teams

Job Responsibility

Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements
own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making
analyze complex datasets to uncover clear, actionable insights that shape product direction
partner with go-to-market teams to demonstrate the technical and business value of our products to customers

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

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Fraud Analytics - Data Scientist

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