Senior Data Scientist, Analytics (Lending)

1 мес. назад

SingaporeWorldwideSeniorOnsite

Senior Data Scientist role focused on analytics in lending at , a global financial platform company.

О компании

The risk platform team at is responsible for managing risk across all 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.

Обязанности

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

Требования

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

Будет плюсом

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

Условия

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.

Другое

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, 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.
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.
As a Credit Risk Analyst - Lending, you will help monitor and optimize the performance of ’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.
To protect you from recruitment scams, please be aware that 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 @ .com email address. Please apply only through careers..com or our official LinkedIn page.
does not accept unsolicited resumes from search firms/recruiters. 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 on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at 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.