Senior Risk & Fraud Data Scientist, Algorithm

ML Engineer · Senior · Full Time

SG - Singapore6mo ago
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Role

What you'll do.

Senior Risk & Fraud Data Scientist position at Airwallex focused on building machine learning solutions for international payment risk management. The role involves end-to-end ML development, from data engineering to model deployment, working with cross-functional teams to solve complex fraud detection problems in the fintech space.

Responsibilities

  • Business Requirements Analysis: Analyze business requirements and translate them into machine learning problems
  • End-to-End ML Development: Work on data engineering, feature engineering, model training, and deployment
  • Issue Identification & Solutions: Identify issues and propose effective solutions through regular analysis
  • ML Platform Development: Develop machine learning platforms and tools to streamline ML workflows at Airwallex
  • Cross-Functional Collaboration: Collaborate with cross-functional teams to apply models that solve business problems
  • Risk Model Implementation: Build industry-leading model systems for international payment risk domain
  • Business Impact Delivery: Deliver measurable business impact through end-to-end ML solutions

Qualifications

What we look for.

Technical

  • ML Libraries Experience

    At least 3+ years experience with common ML libraries such as scikit-learn, TensorFlow, PyTorch, Keras

  • Programming Proficiency

    Proficient in coding languages such as Python and SQL

  • Payment Risk Experience

    Experience in payment risk or international e-commerce risk (preferred)

  • LLM Applications

    Experience in applying LLMs to real-time risk management (preferred)

Education

  • Bachelor's Degree

    Bachelor's or above degree in Computer Science, Engineering, or a related technical field

Experience

  • ML Engineering Experience

    Minimum 3+ years of hands-on experience with machine learning libraries and frameworks

  • Risk Management Background

    Previous experience in payment risk or fraud detection systems (advantageous)

Skills

Required

  • Python Programming

    Advanced proficiency in Python for ML development and data analysis

  • SQL Database Skills

    Strong SQL skills for data querying and manipulation

  • Machine Learning Frameworks

    3+ years experience with scikit-learn, TensorFlow, PyTorch, Keras

  • Data Engineering

    Experience in building data pipelines and feature engineering

  • Model Deployment

    Production ML model deployment and monitoring capabilities

Preferred

  • Payment Risk Domain

    Nice to have

    Experience in payment risk or international e-commerce risk management

  • LLM Applications

    Nice to have

    Experience applying Large Language Models to real-time risk scenarios

  • Cross-functional Collaboration

    Nice to have

    Ability to work effectively with product, engineering, and business teams

  • MLOps Practices

    Nice to have

    Knowledge of ML platform development and workflow optimization

Tech stack

Languages

PythonSQL

Frameworks

scikit-learnTensorFlowPyTorchKeras

Databases

Data WarehouseReal-time Databases

Tools

ML PlatformsFeature Engineering ToolsModel Deployment Tools

Other

LLMsRisk Management Systems

Compensation

Pay and benefits.

Benefits

  • Global Team Collaboration

    Work with 2,000+ innovative professionals across 26 offices worldwide

  • Career Growth

    Accelerated learning and true ownership opportunities in a fast-growing fintech

  • Impact-Driven Work

    Work on high-visibility problems with exceptional teammates

  • Innovation Focus

    Access to cutting-edge AI and ML technologies for problem-solving

  • Diverse Environment

    Equal opportunity employer valuing diversity and inclusion

Process

Interview steps.

  1. 01

    Initial Screening

    Phone/video screening to assess basic qualifications and cultural fit

  2. 02

    Technical Assessment

    ML coding challenge focused on risk/fraud detection scenarios

  3. 03

    System Design Interview

    Design ML systems for real-time fraud detection at scale

  4. 04

    Behavioral Interview

    Assessment of collaboration skills and alignment with Airwallex values

  5. 05

    Final Interview

    Meet with senior team members and discuss specific risk management use cases

Full posting

Original listing.

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

Attributes We Value

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

About the team

The risk platform team at Airwallex is responsible for managing the risk for all the products at Airwallex, including GTPN, Payment, Issuing, Onboarding, and Account takeover. The risk landscape is constantly changing, and fraudsters are becoming increasingly sophisticated. We are at the forefront of innovation in risk management.

What you’ll do

As a Senior Machine Learning engineer, you will tackle challenging machine learning problems in the international payment risk domain and help build industry-leading model systems. You will be responsible for implementing end-to-end ML solutions to address real business challenges and will be accountable for delivering business impact.

This role is based in "Singapore".

Responsibilities:

  1. Analyze business requirements and translate them into machine learning problems

  2. Work on data engineering, feature engineering, model training, and deployment

  3. Identify issues and propose effective solutions through regular analysis

  4. Develop machine learning platforms and tools to streamline ML workflows at Airwallex

  5. Collaborate with cross-functional teams to apply models that solve business problems

Who You Are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

  1. At least 3+ years experienced with common ML libraries, such as scikit-learn, TensorFlow, PyTorch, Keras, etc.

  2. Bachelor’s or above degree in Computer Science, Engineering, or a related technical field.

  3. Proficient in coding language such as Python and SQL.

  4. Experience in payment risk or international e-commerce risk is a plus.

  5. Experience in applying LLMs to real-time risk management is a plus.

Applicant Safety Policy: Fraud and Third-Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

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