Senior Data Scientist, Analytics (Risk & Fraud) Job at Airwallex (Shanghai)

Data Scientist

We are seeking a passionate, data savvy Data Scientist to join the Analytics tea...

Location

United States , Columbus

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Master's degree in Decision Sciences, Statistics, Applied Mathematics, Engineering, Computer Science or Information Systems, Operations Research, or a STEM degree AND a minimum of 3 years of work experience in analytics or data science. If candidate has a PhD, no work experience is required
In lieu of a Master's degree, a Bachelor's degree with a minimum of 5 years work experience in analytics or data science
Experience with programming languages R or Python
Business intelligence and data mining tools Tableau and Tableau Server
Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop

Job Responsibility

Synthesize data from our analytics tools into actionable insights about customer and prospect behavior, digital sales and servicing performance, and customer value delivery
Clearly communicate these recommendations to internal stakeholders and senior leadership
Actively participate in cross-functional initiatives, collaborating with team members to achieve and measure project success
Provide opportunity analysis, measurement plans, dashboards, and post-release/testing analyses
Ability to quickly grasp complex technical concepts and make them easily understandable through various communication mediums like visualizations and presentations
Extract and analyze data using analytics tools such as Python, R, and/or SAS
Create compelling, intuitive dashboards to enable the business with critical metrics, with a focus on data automation, anomaly detection, and actionable data visualizations
Partner with Digital, Marketing, Product and IT partners to evaluate the success of new initiatives
Collaborate with Fraud and Risk partners to identify and mitigate threats to assets
Apply visualization techniques to internal and external data sources to make accurate and actionable analyses in a timely fashion

What we offer

Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
401(k) plan

Fulltime

New

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 - Risk Analytics

We're looking for a Risk Analyst to join our Fraud & Financial Crime Team. You w...

Location

United Kingdom , London

Salary:

Not provided

Capital on Tap

Expiration Date

Until further notice

Requirements

At least three years of risk analysis experience ideally including credit cards, fraud or fincrime
Highly analytical and comfortable conducting complex analysis using SQL and Python
Exceptional detail orientated, problem solving skills and the ‘can do’ attitude to thrive in a fast paced, high growth environment
Excellent collaboration skills and a natural team player
Strong verbal communication skills including the ability to clearly explain complex concepts to other analysts, business stakeholders and senior leadership
2.1 or above at degree level, preferably in Economics or STEM subject

Job Responsibility

Owning, monitoring and continually optimising our fraud detection rules
Applying advanced analytics to maximise the efficiency and effectiveness of our Financial Crime detection processes
Supporting the launch of new products and balancing the need for robust fraud and financial crime controls whilst maintaining a positive customer experience
Working with external vendors to continually evaluate innovative or alternative products and tools
Proactively championing best use of AI to accelerate delivery of analytical output and as an integral part of our business solutions
Present and actively collaborate with a wide group of business stakeholders including Operations, Credit, Senior Management, and external business partners

What we offer

Private Healthcare including dental and opticians services through Vitality
Worldwide travel insurance through Vitality
Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
Salary Sacrifice Pension Scheme up to 7% match
28 days holiday (plus bank holidays)
Annual Learning and Wellbeing Budget
Enhanced Parental Leave
Cycle to Work Scheme
Season Ticket Loan
6 free therapy sessions per year

Fulltime

New

Senior Data Scientist - Financial Crime

We are looking for an experienced Senior Data Scientist with strong expertise in...

Location

United Kingdom , London

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Science, Analytics, or a related role
Strong proficiency in Python (NumPy, Pandas, Scikit-learn, etc.)
Hands-on experience with PySpark / Spark for large-scale data processing
Solid understanding of Financial Crime domains including: Fraud Monitoring, Transaction Monitoring, AML / CTF concepts, Customer risk and suspicious activity patterns
Experience building and validating machine learning models (supervised & unsupervised)
Strong knowledge of data preprocessing, feature engineering, and model evaluation
Ability to communicate complex analytical findings to non-technical stakeholders

Job Responsibility

Design, develop, and deploy data science and machine learning models for fraud detection, transaction monitoring, and financial crime use cases
Analyze large, complex datasets using Python and PySpark in distributed data environments
Build end-to-end analytics pipelines including data ingestion, feature engineering, model training, and validation
Apply statistical analysis, ML techniques, and pattern recognition to identify suspicious behaviors and emerging fraud typologies
Collaborate with business, compliance, and technology teams to translate financial crime requirements into analytical solutions
Monitor model performance, perform tuning, and ensure model stability and regulatory alignment
Document models, methodologies, and assumptions for internal governance and audit requirements
Stay updated on financial crime trends, fraud patterns, and regulatory expectations

Senior Data Scientist - Fraud Specialist

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

Impressive academic achievements in Mathematics, Computer science, Physics, Statistics, Mathematical Engineering or Physical Engineering
2+ years of work/research experience in analytical fraud detection in the Insurance, Finance or Law Enforcement domain
Applied knowledge of network analysis, anomaly detection or risk scoring and segmentation using semi-supervised, self-supervised and human-in-the-loop machine learning techniques
Strong Python programming skills - especially in the data domain - and fluent use of GIT
Excellent English level, oral & written
Genuine, collaborative mindset that inspires and guides others

Job Responsibility

Design, build and evolve Prima’s proprietary predictive technology, in topics such as the prediction of future claims, tactical pricing, renewal probability, fraud detection and customer lifetime value, etc
Define and support the implementation in each country of the key tools to understand how the business is growing, for example: conversion, retention, emerging profitability. The monitoring tools need to be consistent at a global level and at the same time able to adapt to the different stages of evolution of each country
Support the countries in planning the pricing and UW strategy and consequent follow up
Develop a strong critical spirit and creativity that can act as an engine for Prima's growth

What we offer

Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year
Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you
Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support

Fulltime

New

Senior Data Scientist - Digital / Device Intelligence

Socure is seeking a Senior Data Scientist to join our Digital Intelligence team....

Location

United States

Salary:

150000.00 - 185000.00 USD / Year

Socure

Expiration Date

Until further notice

Requirements

Master’s degree (or equivalent practical experience) in Computer Science, Machine Learning, Statistics, or a related quantitative field
6+ years of experience in data science or applied machine learning, including experience working in production environments
Excellent SQL skills and extensive experience with large-scale databases and data modeling
Proven track record of deploying and maintaining ML models in live systems, ideally involving streaming or near-real-time data
Proficiency in Python and distributed computing tools (e.g., Spark, PySpark)
Hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or similar
Excellent communication skills—able to explain complex technical results to non-technical stakeholders and senior leadership
Experience designing and interpreting experiments, working with real-world noisy datasets, and applying sound validation techniques to assess model robustness
Demonstrated ability to break down ambiguous problems, apply analytical rigor, and uncover meaningful insights that influence product or risk strategies
Strong judgment across data quality, model selection, and business impact tradeoffs

Job Responsibility

Design and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention—balancing precision, recall, and real-world adversarial dynamics
Contribute to the development of scalable data pipelines and production ML workflows using structured and unstructured telemetry (e.g., browser, mobile, session data)
Investigate high-complexity signals (e.g., emulator use, spoofing, low-entropy fingerprints), applying advanced statistical methods and domain knowledge to detect fraud and abuse
Translate ambiguous business problems into modeling approaches, using a combination of supervised, unsupervised, and heuristic techniques
Partner with engineering, product, and risk teams to contribute to data architecture decisions, signal collection, and planning
Drive experimental design, A/B testing frameworks, and robust validation techniques to ensure model generalizability and long-term trust
Contribute to team standards for ML explainability, risk evaluation, and feature logging
Document methodologies and communicate results effectively through dashboards, presentations, and reports for both technical and executive audiences
Mentor junior data scientists and participate in cross-functional working groups

What we offer

Offers Equity
Offers Bonus
total rewards package includes equity, benefits, and an annual bonus or a commission plan
A collaborative and inclusive work environment that fosters learning and growth
Opportunities to grow into staff-level or technical leadership roles over time

Fulltime

Senior VP - Data Science & Modelling

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

Location

India , Pune

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 and Generative AI
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 degree in finance/engineering/quantitative Fields (Statistics, Mathematics)/MBA. Master’s degree preferred
Model execution and governance experience in any domain will be preferable
Proficient in proactive risk mitigation, manage project pipeline to ensure prioritization and required resourcing mix
At least 8 years of people management experience

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
Mitigate fraud losses by designing and developing NextGen advanced intelligent AI or ML based platform
Analyze transaction data, understand fraud pattern, develop models with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact
Collaborate with model implementation team, responsible for model documentation, justifying questions from model risk management (MRM)
Lead and manage the entire modelling function within AIM Financial Crimes and Fraud Prevention Analytics, recruit staff, lead professional development and build an effective high performing team
Work as SME in the area of ML/Generative AI
Articulate complex AI and ML concepts in a clear manner to diverse audiences including business partners and peers
Stay abreast of the latest advancements, trends and research in AI and ML space
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy

Fulltime

New

Senior Data Scientist (ML Engineering)

As CLEAR continues to scale, we’re deepening our investment in the data science ...

Location

United States , New York

Salary:

175000.00 - 215000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

6+ years of experience in data science, machine learning, or applied statistics within a modern cloud data environment like AWS Sagemaker
Expert-level Python with deep experience in scientific libraries (e.g. pandas, NumPy, SciPy, matplotlib), machine learning frameworks (e.g. scikit-learn, XGBoost, LightGBM, pytorch), and model evaluation tooling
Strong SQL skills and experience working with cloud data warehouses (e.g. Snowflake, BigQuery, Redshift)
Experience with modern ML workflow tools (e.g., Airflow, Dagster, MLflow, Vertex / SageMaker, Voxel 51)
Deep understanding of statistical methods, experiment design, data cleansing, feature engineering, and model interpretability
Proven ability to turn ambiguous business problems into measurable modeling approaches—balancing analytical rigor with practical business impact
Experience deploying production models and maintaining them through their lifecycle (monitoring, retraining, performance management)
Strong communication, stakeholder influence, and storytelling skills
you can translate complex data science work into insights and decisions
A proactive, curious mindset with a passion for standardization, repeatability, and scaling high-quality modeling practices

Job Responsibility

Own and evolve CLEAR’s predictive modeling ecosystem: design, train, and optimize statistical and machine learning models for our digital identity platform that support product, risk, fraud, operations, and member experience teams
Develop high-quality production code including feature engineering pipelines, model training workflows, and evaluation frameworks that meet reliability and performance standards
Partner with Data Engineering and ML Platform teams to deploy models into production, define scalable data pipelines, and ensure real-time and batch inference systems run efficiently
Advance CLEAR’s AI & ML capabilities by designing reusable modeling components, improving model documentation, and contributing to a roadmap for integrating ML into core products and decision flows
Improve experimentation and insight generation by building robust tooling and analytical frameworks, designing statistical tests, and synthesizing results into clear and actionable recommendations for cross-functional teams
Mentor analysts, data scientists, and ML engineers, guiding them on Python best practices, model development, data exploration, and communicating insights effectively

What we offer

comprehensive healthcare plans
family-building benefits (fertility and adoption/surrogacy support)
flexible time off
annual wellness stipend
free OneMedical memberships for you and your dependents
a CLEAR Plus membership
a 401(k) retirement plan with employer match
catered lunches every day
fully stocked kitchens
stipends and reimbursement programs for well-being and learning & development

Fulltime

Senior Data Scientist, Analytics (Risk & Fraud)

Airwallex

Location:
China , Shanghai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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