Cookies & analytics consent
We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.
Read how we use data in our Privacy Policy and Terms of Service.
🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
UOB • Phoenix, Arizona, United States
Salary: 19 countries in Asia Pa
Role & seniority
Stack/tools
IFRS 9 ECL and credit risk models; PD/LGD/EAD validation
Statistical modeling, back-testing, stress testing, benchmarking
Programming: Python, R, SAS, Excel VBA
Communication of validation findings; contribution to MRM framework
Top 3 responsibilities
Conduct independent validation of risk models (IFRS 9, credit risk, stress testing) incl. PD/LGD/EAD components
Provide effective challenge on methodologies, data inputs, processes, and outcomes
Develop robust validation strategies (back-testing, stress testing, sensitivity analyses) and communicate results to stakeholders; contribute to MRM framework enhancements
Must-have skills
Master’s or PhD in quantitative field (e.g., Financial Engineering, Mathematics, Statistics)
5–10 years in model validation or development with focus on IFRS 9 ECL
Deep IFRS 9 accounting standards and regulatory knowledge
Statistical modeling, ML techniques, data analysis
Proficiency in Python, R, SAS, or Excel VBA
Strong analytical, problem-solving, and communication abilities
Nice-to-haves
Location & work type
Location: Singapore (HQ) / Asia-Pacific region; work with global bank network
Work type: Full-time, on-site/hybrid within corporate environment
About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. Job Description We are seeking a highly skilled and experienced VP to join our Model Validation team within Risk Analytics. This role is crucial in ensuring robustness and compliance of our IFRS 9 impairment models, contributing significantly to the bank’s risk management framework. Job Responsibilities * Conduct comprehensive independent validation of various risk models, including but not limited to IFRS 9, credit risk and stress testing models. Validation of the PD, LGD, EAD components will include statistical testing, sensitivity analysis, back-testing, benchmarking, quantitative/qualitative review of methodologies, inputs, assumptions, staging criteria and behavioural maturities etc. * Provide effective challenges to all model aspects including theoretical / conceptual soundness, model assumptions, model design, data inputs, modeling process, and model outcomes * Develop and implement robust validation testing strategies, including back-testing, stress testing, sensitivity analysis, and benchmarking * Effectively communicate model validation outcomes to various stakeholders and management * Contribute to the continuous enhancement of the bank’s model risk management framework and validation methodologies Job Qualifications * Master's or PhD degree in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Econometrics, Computer Science or a related discipline. * Minimum of 5–10 years of relevant experience in model validation or model development, specifically with a strong focus on IFRS 9 ECL models within the banking or financial services industry * Deep understanding of IFRS 9 accounting standards and regulatory requirements related to credit risk models * Proven expertise in statistical modeling techniques, machine learning algorithms, and data analysis * Proficiency in programming languages commonly used in quantitative finance (e.g., Python, R, SAS, Excel VBA) * Strong analytical, problem-solving, and critical thinking skills * Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences * Ability to work independently and as part of a team in a fast-paced and dynamic environment * Prior experience in Big 4 audit firms with exposure to IFRS 9 credit models either in an audit or advisory capacity will be advantageous Additional Requirements Be a Part of the UOB Family UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application. Apply now and make a Difference Together, Let’s Build the Future of ASEAN We value our people and invest in them as we look to fulfil our purpose of building the future of ASEAN. We seek to create a collaborative and progressive environment for them to succeed in their careers for the long term. Explore career opportunities with us today. UOB is rated as one of the world's top banks, ranked 'Aa1' by Moody's Investors Service and 'AA-' by both S&P Global and Fitch Ratings. With a global network of 500 branches and offices across 19 countries in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, as well as branches and offices throughout the region. Career Site: UOB Career site