Senior Data Scientist, Algorithm (Risk & Fraud)

Data Scientist · Senior · Full Time

US - San FranciscoSGD 146k – 246k6mo ago
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Role

What you'll do.

Senior Data Scientist role at Airwallex's Singapore office focused on building ML solutions for payment risk and fraud detection. The role requires 3+ years of ML experience with Python, scikit-learn, TensorFlow/PyTorch, and involves end-to-end ML implementation from data engineering to model deployment for international payment security systems.

Responsibilities

  • Business Requirements Analysis: Analyze business requirements and translate them into well-defined machine learning problems
  • End-to-End ML Development: Execute complete ML workflows including data engineering, feature engineering, model training, and deployment
  • Performance Analysis: Identify model performance issues and propose effective solutions through regular analysis and monitoring
  • ML Platform Development: Develop machine learning platforms and tools to streamline ML workflows across Airwallex
  • Cross-Functional Collaboration: Collaborate with cross-functional teams to apply ML models that solve real business problems
  • Risk Model Implementation: Build industry-leading model systems for international payment risk and fraud detection
  • Business Impact Delivery: Be accountable for delivering measurable business impact through ML solutions

Qualifications

What we look for.

Technical

  • Machine Learning Libraries

    3+ years experience with ML libraries including scikit-learn, TensorFlow, PyTorch, and Keras

  • Programming Proficiency

    Proficient coding skills in Python and SQL for data processing and model development

  • End-to-End ML Pipeline

    Experience building complete ML solutions from data engineering to model deployment

Education

  • Bachelor's Degree

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

Experience

  • ML Experience

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

  • Payment Risk Experience

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

  • LLM Applications

    Experience applying Large Language Models to real-time risk management (preferred)

Skills

Required

  • Python Programming

    Proficient coding skills in Python for ML development and data processing

  • SQL

    Strong SQL skills for database querying and data manipulation

  • Machine Learning Libraries

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

  • Data Engineering

    Experience with data pipeline construction and feature engineering

  • Model Deployment

    Hands-on experience deploying ML models to production environments

Preferred

  • Payment Risk Domain

    Nice to have

    Experience in payment risk or international e-commerce risk management

  • Large Language Models

    Nice to have

    Experience applying LLMs to real-time risk management scenarios

  • Cross-Border Payments

    Nice to have

    Understanding of international payment systems and fraud patterns

  • Real-Time Systems

    Nice to have

    Experience with real-time ML inference and low-latency decision systems

Tech stack

Languages

PythonSQL

Frameworks

scikit-learnTensorFlowPyTorchKeras

Tools

ML PlatformsLLMs

Other

Data Engineering ToolsModel Deployment Systems

Compensation

Pay and benefits.

Base·SGD 146,060 – 246,340

Benefits

  • Global Opportunities

    Work in a fast-growing, globally connected tech ecosystem with 26 offices worldwide

  • Career Growth

    Accelerated learning and career development opportunities in a high-growth fintech unicorn

  • Innovation Environment

    Work at the forefront of innovation in risk management and payment technology

  • Equal Opportunity

    Equal opportunity employer with strong commitment to diversity and inclusion

Process

Interview steps.

  1. 01

    Initial Screening

    Phone or video screening to discuss background and role fit

  2. 02

    Technical Assessment

    Coding assessment focusing on Python, SQL, and ML problem-solving

  3. 03

    ML Case Study

    Deep dive into ML methodology, model selection, and risk management scenarios

  4. 04

    System Design

    Design discussion for ML systems and deployment architecture

  5. 05

    Final Interview

    Cultural fit and leadership discussion with senior team members

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.

This role is based in Singapore, with the opportunity to relocate and work in a fast-growing, globally connected tech ecosystem.

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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