Senior Data Scientist, Analytics (Lending)

Data Scientist · Senior · Full Time

SG - SingaporeUSD 120k – 180k2d ago
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Role

What you'll do.

As a Senior Data Scientist specializing in Analytics for Airwallex's Lending division, you will drive data-driven decision-making across credit risk management and portfolio optimization. Working within the Risk Platform team at this $11 billion fintech leader, you will design and implement advanced analytical frameworks, credit risk models, and performance monitoring systems that directly influence lending outcomes for over 250,000 global businesses. This role requires deep expertise in credit risk analytics, statistical modeling, and cross-functional collaboration to translate complex portfolio challenges into actionable insights that improve credit quality and support sustainable growth in the lending business.

Responsibilities

  • Portfolio Performance Monitoring and Analysis: Monitor and analyze the performance of existing business lending portfolios through advanced data analytics, tracking delinquency trends, early warning indicators, and credit quality metrics. Identify emerging risks within the portfolio and provide actionable insights to mitigate potential losses and optimize portfolio composition.
  • Credit Risk Strategy and Optimization: Support the assessment and optimization of portfolio-level credit strategies, ensuring alignment with regional credit risk policies and regulatory requirements. Design and refine credit decision frameworks that balance growth objectives with risk management.
  • Advanced Analytics and Modeling: Develop and maintain predictive models, including Expected Credit Loss (ECL) models, credit risk assessment frameworks, and stress testing methodologies. Translate complex statistical concepts into practical tools that support credit quality decisions and policy optimization.
  • Risk Dashboard and Reporting Development: Design and prepare comprehensive portfolio reports, interactive risk dashboards, and management summaries to support senior leadership decision-making. Ensure data visualization and reporting infrastructure enable real-time monitoring of credit performance metrics.
  • Cross-Functional Collaboration and Implementation: Collaborate with Operations, Product, and Policy teams to ensure consistent application of credit policies, effective risk controls, and data-driven governance. Translate business requirements into analytical solutions and provide technical support for policy implementation across lending channels.
  • Regulatory Compliance and Governance: Participate in periodic portfolio reviews, stress testing exercises, and comprehensive credit risk assessment activities. Provide analytical support for regulatory reporting, audits, and internal governance requirements to maintain compliance with financial services regulations.
  • Data Quality and Research: Conduct deep-dive analysis of large datasets using advanced SQL and Python capabilities. Identify data discrepancies, validate model assumptions, and perform exploratory data analysis to uncover insights that drive portfolio optimization strategies.

Qualifications

What we look for.

Technical

  • SQL Proficiency

    Advanced SQL skills for querying, aggregating, and transforming large financial datasets. Ability to write complex queries involving multiple joins, window functions, and performance optimization for analytical workloads.

  • Python Programming

    Proficient Python development for data analysis, statistical modeling, and machine learning. Experience with libraries such as pandas, scikit-learn, statsmodels, and NumPy for implementing credit risk models and analytical frameworks.

  • Statistical Modeling and Analysis

    Strong foundation in statistical methodologies including regression analysis, classification models, time series analysis, and hypothesis testing. Experience building and validating predictive models for credit risk assessment.

  • Credit Risk Modeling

    Experience developing Expected Credit Loss (ECL) models, probability of default (PD) models, loss given default (LGD) frameworks, or equivalent credit risk quantification methodologies.

  • Data Visualization and BI Tools

    Ability to communicate data insights through effective visualizations. Familiarity with business intelligence tools such as Tableau, Looker, Power BI, or similar platforms for creating executive dashboards.

Education

  • Bachelor's Degree in Quantitative Discipline

    Bachelor's degree or above in Quantitative Finance, Statistics, Computer Science, Business Analytics, Data Science, Applied Mathematics, or related quantitative field with strong mathematical foundations.

Experience

  • Credit Risk Analytics Experience

    3+ years of professional experience in credit risk analytics, portfolio risk analysis, credit strategy development, or related quantitative roles within financial services or fintech organizations.

  • Large-Scale Data Analysis

    Proven track record working with large, complex financial datasets using SQL and Python. Demonstrated ability to translate raw data into meaningful insights and actionable recommendations for business stakeholders.

  • Problem-Solving with Financial Data

    Experience identifying and solving complex business problems using analytical approaches. Strong attention to detail in data quality validation and discrepancy identification critical for regulatory compliance and risk management.

  • Cross-Functional Collaboration

    Experience partnering effectively with non-technical stakeholders including risk management, operations, product, and compliance teams. Ability to communicate technical concepts clearly to diverse audiences.

Skills

Required

  • SQL

    Expert-level SQL for complex analytical queries, data extraction, and transformation from relational databases used in lending and risk analytics systems.

  • Python

    Production-grade Python coding for data analysis, statistical modeling, and developing credit risk analytics frameworks and tools.

  • Statistical Analysis

    Advanced statistical methods including regression, classification, and hypothesis testing applied to credit risk and portfolio analysis problems.

  • Data Analysis and Interpretation

    Ability to extract actionable insights from complex datasets, identify patterns, and communicate findings to support data-driven decision-making.

  • Business Problem Solving

    Analytical mindset to break down complex credit risk and portfolio optimization challenges into structured, data-driven solutions.

Preferred

  • ECL Modeling

    Nice to have

    Hands-on experience building and implementing Expected Credit Loss models under accounting standards such as IFRS 9 or ASC 326 for financial institutions.

  • SME Lending Experience

    Nice to have

    Specialized knowledge of small and medium enterprise lending, including underwriting criteria, default patterns, and portfolio dynamics in the SME lending market.

  • Credit Risk Assessment and Modeling

    Nice to have

    Advanced expertise in probability of default (PD), loss given default (LGD), exposure at default (EAD) modeling and credit risk quantification methodologies.

  • Credit Policy and Decision Strategy Design

    Nice to have

    Experience designing credit policies, decision trees, approval strategies, or performance monitoring frameworks that balance risk and growth objectives.

  • Stress Testing and Regulatory Reporting

    Nice to have

    Familiarity with stress testing frameworks, regulatory reporting requirements, governance processes, and audit methodologies for financial services organizations.

  • Risk Analytics and Modeling Hybrid Role

    Nice to have

    Combined experience in both risk analytics and quantitative modeling, with ability to bridge business insights and mathematical sophistication.

Tech stack

Languages

PythonSQLR

Frameworks

scikit-learnpandasstatsmodels

Databases

Relational Databases (PostgreSQL, MySQL, Oracle)Data Warehouses (Snowflake, BigQuery, Redshift)

Tools

Business Intelligence and Visualization ToolsJupyter Notebook / JupyterLabGit and Version Control

Other

Statistical Modeling MethodologiesCredit Risk Framework KnowledgeFintech and Lending Platform Experience

Compensation

Pay and benefits.

Base·USD 120,000 – 180,000

Equity·Stock options

Benefits

  • Impact-Driven Work

    Opportunity to work on high-impact credit risk problems that directly influence lending portfolio performance and business outcomes for over 250,000 global businesses.

  • Talented Cross-Functional Team

    Collaborate with a highly skilled, diverse team of engineers, product managers, and risk professionals in a fast-paced, high-growth environment within a $11 billion fintech leader.

  • Career Growth and Learning

    Accelerated learning opportunities through work on complex, high-visibility problems in global payments and financial infrastructure, with mentorship from industry experts.

  • Founder-Like Ownership

    True end-to-end ownership of analytical projects, from problem definition through implementation and impact measurement, with autonomy to drive decisions.

  • Global Scale and Exposure

    Work across Airwallex's global lending operations spanning 27 offices worldwide, gaining exposure to diverse lending markets, regulatory environments, and customer segments.

  • AI-Driven Problem Solving

    Access to cutting-edge AI and machine learning tools to enhance analytical capabilities, automate routine tasks, and focus on higher-value strategic analysis.

Process

Interview steps.

  1. 01

    Initial Screening Call

    Conversation with the recruiting team to discuss your background in credit risk analytics, data science experience, and alignment with Airwallex's mission and operating principles. Expected duration: 30 minutes.

  2. 02

    Technical Assessment

    Hands-on technical evaluation of SQL and Python proficiency through practical exercises. You'll work through real analytical problems similar to those encountered in the role, demonstrating your ability to query data, analyze patterns, and solve credit risk-related challenges. Expected duration: 60-90 minutes.

  3. 03

    Case Study and Problem-Solving

    In-depth case study on a credit risk or portfolio analytics scenario. You'll receive a dataset or business problem and develop an analytical approach, presenting your methodology, findings, and recommendations to the hiring team.

  4. 04

    Team and Manager Interview

    Interviews with your potential manager and key team members from the Risk Platform team. Discussions will focus on your experience with cross-functional collaboration, credit risk strategy, and your approach to translating business problems into analytical solutions.

  5. 05

    Behavioral and Culture Fit Discussion

    Conversation exploring your alignment with Airwallex's values of builder mentality, first-principles thinking, end-to-end ownership, and collaborative problem-solving in fast-paced environments.

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 250,000 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 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 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 risk across all Airwallex products, including topics like lending, Payments, Issuing and Onboarding. The risk landscape is constantly changing, and threats are becoming increasingly sophisticated. We are at the forefront of innovation in risk management.

What you’ll do

As a Credit Risk Analyst - Lending, you will help monitor and optimize the performance of Airwallex’s business lending portfolio through data-driven analysis, portfolio insights, and credit risk strategy support. You will be responsible for translating portfolio and policy questions into analytical frameworks, monitoring approaches, and actionable recommendations that improve credit quality and support sustainable business growth.

Responsibilities:

  • Monitor and analyze the performance of existing business lending portfolios, including delinquency trends, early warning indicators, and credit quality metrics

  • Identify emerging risks within the portfolio and provide actionable insights to mitigate potential losses

  • Support the assessment and optimization of portfolio-level credit strategies, ensuring alignment with regional credit risk policies

  • Prepare portfolio reports, risk dashboards, and management summaries to support senior leadership decision-making

  • Collaborate with Operations and Product teams to ensure consistent application of credit policies and effective risk controls

  • Participate in periodic portfolio reviews, stress testing, and credit risk assessment exercises

  • Provide analytical support for regulatory reporting, audits, and internal governance requirements

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:

  • 3+ years of experience in credit risk analytics, risk strategy, portfolio analytics, or a related quantitative role

  • Bachelor’s degree or above in Quantitative Finance, Statistics, Computer Science, Business Analytics, Data Science, or a related quantitative discipline

  • Proficient in SQL and Python, with the ability to translate data into actionable insights

  • Strong problem-solving skills and experience working with large datasets

  • Strong attention to detail and the ability to identify discrepancies in data

  • Experience partnering with cross-functional stakeholders to solve business problems

Preferred qualifications:

  • Hybrid experience of both risk analytics and modelling

  • Experience in SME lending experience preferred

  • Hands-on experience in ECL modelling, credit strategy analysis, or credit risk assessment

  • Experience designing credit policies, decision strategies, or performance monitoring frameworks

  • Familiarity with stress testing, governance, audit, or regulatory reporting processes

Why Join Us:

  • Opportunity to work on impactful credit risk problems that directly influence lending performance and business outcomes.

  • Collaborate with a talented, cross-functional team in a fast-paced, high-growth environment.

  • Drive better portfolio decisions through analytics, monitoring, and risk insights that improve customer and business outcomes.

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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