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

Commercial Card Fraud Innovation Strategy Leader

The Commercial Card Fraud Strategy Leader leads the end‑to‑end strategy, analyti...

Location

United States , Columbus; Philadelphia; Chicago; Short Hills; Glen Allen; Westwood; Irving; Pittsburgh; Mason; Melville; Ohio; Remote

Salary:

146000.00 - 178000.00 USD / Year

Citizens Bank

Expiration Date

April 30, 2026

Requirements

10+ years of experience in fraud strategy, fraud prevention, data analytics, or risk management
5+ years of experience in fraud risk management at commercial card issuers
Deep expertise in identity and payment fraud methods, tools, and processes for prevention, detection, and fraud operations
Advanced proficiency in data science techniques, including machine learning, predictive modeling, and statistical analysis
Experience with fraud detection platforms, rule engines, and data visualization tools
Strong understanding of payment processing systems, card networks, and risks specific to card transactions and corporate expense management
Excellent analytical, organizational, and problem-solving skills
Strong verbal and written communication skills, with the ability to present requirements and issues clearly
Ability to lead multiple projects simultaneously, prioritize effectively, and thrive in a fast-paced, evolving environment
Proficiency in MS Office suite and analytical tools such as Python, R, SQL, and/or SAS

Job Responsibility

Lead end-to-end reviews of current fraud and credit risk management capabilities, strategies, and controls
Oversee and monitor the Commercial Credit Card portfolio to reduce credit and fraud losses, mitigate employee misuse, and balance customer experience
Identify risks, develop controls, and evaluate their effectiveness, escalating issues as appropriate
Deliver timely escalation of risk issues to senior management and collaborate on action plans
Build and mentor a team of data scientists and analysts to develop and implement advanced machine learning and statistical models for fraud detection and prevention
Drive portfolio fraud analytics across customer segments, providing actionable insights for risk strategies
Develop predictive models to monitor and mitigate emerging fraud threats, integrating real-time detection with engineering and IT teams
Use data-driven insights to recommend improvements to fraud prevention systems and technologies
Develop a comprehensive fraud risk management program for Commercial Card and Expense products, including key indicators for tracking and reporting
Partner with internal stakeholders, external vendors, and customers to launch and update risk controls across products

What we offer

Competitive pay
comprehensive medical, dental and vision coverage
retirement benefits
maternity/paternity leave
flexible work arrangements
education reimbursement
wellness programs
paid time off policy exceeds mandatory requirements

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

Merchant and Loyalty Rewards Integrity Manager Senior Vice President

The Merchant and Rewards Integrity Manager will lead enterprise efforts to stren...

Location

United States , Jacksonville; San Antonio; O'Fallon; Tampa; Florence; Johnson City; Sioux Falls; New Castle

Salary:

130880.00 - 196320.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years relevant experience
Experience in fraud risk, business impersonation, merchant fraud, product risk, payments, and rewards and loyalty ecosystems, payment
Experience with product management or product risk is desirable.
Expertise in the following would be beneficial: Fraud Awareness and Risk Management Operations and Systems (Information Security Standards, Vendor/Outsourcing Management and MCA Legal and Regulatory Compliance Management of a global operations and a complex environment that includes global teams.
Excellent communication skills – verbal & written
Bachelor’s/University degree, Master’s degree preferred

Job Responsibility

Lead and develop a multidisciplinary team of data scientists, data analysts, and fraud strategy professionals.
Strengthen merchant and rewards risk controls to detect, analyze, and enhance enterprise safeguards related to merchant impersonation, inauthentic business entities, loyalty rewards exploitation.
Lead data scientists in developing and optimizing behavioral anomaly detection, fraud detection, and entity linkage and network analysis,
Translate risk typologies into scalable detection strategies
Improve precision and recall of merchants and rewards monitoring controls.
Establish measurable performance indicators across merchant and rewards risk domains.
Oversee intelligence monitoring across digital channels and relevant marketplaces to identify emerging merchant and rewards trends and exploitation patterns
Partner with Product and Marketing Teams to embed risk considerations into launches and promotions.
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

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

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

Senior Data Scientist - Fraud/Risk

We’re looking for a Senior Data Scientist to join our Risk Decision Science team...

Location

United States , San Francisco; Sunnyvale

Salary:

171000.00 - 190000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

5+ years in a data-focused role such as product analytics, business analytics, business operations, or data science
Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or other quantitative fields
Experience in framing ambiguous business problems into structured analytical work
Experience in leading large cross-functional projects
Highly proficient in data science and visualization tools, such as SQL, Python, Tableau
Proficient at defining, utilizing, and communicating performance metrics
proven track record of applying analytical/statistical methods to solve real-world problems using big data
Creative problem solving, critical thinking skills, and a get-things-done attitude
Hands-on, data-driven, and attentive to detail

Job Responsibility

Apply effective techniques (ML, LLM, and experimentation) to solve a wide variety of new or existing business problems
Evolve our risk metrics, shape and influence our data models and instrumentation to generate insights and develop new data products and models
Influence the cross-functional roadmap by providing insights and recommendations that go beyond analytical considerations
Collaborate with Product, Engineer, Ops, and regional teams to develop long-term risk strategies
Tailor complex findings into compelling narratives for executive audiences
Document logic and risks effectively to ensure the 'why' behind your work is understood at a leadership level
Consistently take effective prioritization calls to maximize business impact
Deliver impactful and meaningful strategies to mitigate fraudulent activities and achieve key results (OKRs)
Hold the bar for technical excellence by conducting peer reviews and helping junior analysts develop through meaningful feedback
Stay highly engaged and always hustle, as Uber Risk is a very fast-paced environment

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

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

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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