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AVP, Portfolio Management & Data Analytics

Pay
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Work setting
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Prepare and monitor internal and external data for SME portfolio assessment

  • Build deep-dive analytics on portfolios, products and customer segments

  • Deploy and refine early warning signals and triggers to prevent delinquencies and NPLs

  • Produce and improve portfolio performance reports and dashboards for senior management and regulators

  • Enhance the Analytics data mart with Analytics Support and IT teams

From the employer’s posting
Manage, clean, and prepare internal and external data for monitoring and analytical assessment of SME Banking portfolios
Develop deep-dive analytics across portfolios, products, and customer segments
Deploy and enhance pre-emptive early warning signals and monthly triggers to prevent delinquencies, NPLs
Generate, monitor, assess and improve regular portfolio performance reports and dashboards for senior management, regulators, and key stakeholders
Collaborate with Analytics Support and IT Teams to enhance the Analytics data mart

What you’ll bring

All qualifications

Core experience

  • Master’s degree in data science, Statistics, Engineering, Economics, Finance, or related quantitative field.
  • 5-8 years of experience in credit risk analytics, portfolio management, or risk modelling, ideally within SME or Retail Banking
  • Proficient in analytical tools, visualization tools, and programming languages (e.g., SAS, SQL, Python, Power BI, or R), with experience handling large datasets and data warehouses / analytics data marts.
  • Good understanding for credit risk concepts, product structures, regulatory requirements, and portfolio reporting frameworks in banking.
  • Excellent communication and stakeholder management skills, with the ability to present complex analytical findings to non-technical business and senior leaders.
  • Proficient in English (written and verbal), with confident presentation and documentation skills.
Qualification wording
Master’s degree in data science, Statistics, Engineering, Economics, Finance, or related quantitative field.
5-8 years of experience in credit risk analytics, portfolio management, or risk modelling, ideally within SME or Retail Banking
Proficient in analytical tools, visualization tools, and programming languages (e.g., SAS, SQL, Python, Power BI, or R), with experience handling large datasets and data warehouses / analytics data marts.
Good understanding for credit risk concepts, product structures, regulatory requirements, and portfolio reporting frameworks in banking.
Excellent communication and stakeholder management skills, with the ability to present complex analytical findings to non-technical business and senior leaders.
Proficient in English (written and verbal), with confident presentation and documentation skills.
Education & alternatives
Qualifications - Master’s degree in data science, Statistics, Engineering, Economics, Finance, or related quantitative field. - 5-8 years of experience in credit risk analytics, portfolio management, or risk modelling, ideally within SME or Retail Banking

About United Overseas Bank

United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America.

In the employer’s words · Read in context

Apply at United Overseas Bank

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20268 days ago
Recorded sightings
9
Last seen by us
Nov 13, 2026
Employer says posted
Oct 5, 2026

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How this job compares

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Day 8

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United Overseas Bank is hiring

48 open jobs

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Hiring record

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  • Python
  • R
  • SAS
  • SQL
  • Power BI
Where the posting names them
- Strong analytical mindset with experience analyzing large datasets and translating insights into actionable business and risk decisions. - Proficient in analytical tools, visualization tools, and programming languages (e.g., SAS, SQL, Python, Power BI, or R), with experience handling large datasets and data warehouses / analytics data marts. - Good understanding for credit risk concepts, product structures, regulatory requirements, and portfolio reporting frameworks in banking.

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Demand for Analyst roles

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Company: 2501 UOB (Thai) Public Company Limited

About UOB

United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow.


Job Description

Manager - AVP level within the SME Banking Risk Analytics Team, working closely with the Risk Analytics Team Leader to deliver decision-ready analytics that reduce unnecessary risk and improve risk-adjusted return. The position operates with a high degree of autonomy and is expected to influence portfolio and risk-based strategies across SME Banking, while continuing to build technical and analytical expertise in a fast-paced environment. Over time, this role offers the potential to grow into a broader risk analytics or portfolio-level leadership position.
Key Responsibilities

  • Manage, clean, and prepare internal and external data for monitoring and analytical assessment of SME Banking portfolios, providing insights and recommendations to enhance portfolio quality and optimize risk-return outcomes including data quality and integrity reports.

  • Develop deep-dive analytics across portfolios, products, and customer segments to identify emerging trends, opportunities for SME Banking teams in making decision-ready analytics for business decisions.

  • Deploy and enhance pre-emptive early warning signals and monthly triggers to prevent delinquencies, NPLs, and support optimization of banking reserves, through continue enhancement of the triggering framework and improvement of model accuracy.

  • Work closely with business users, credit approvers, collections, and relationship managers to align risk parameters, lending policies, product pricing with business strategy and regulatory requirements while generating analytics input for program design and refinement.

  • Generate, monitor, assess and improve regular portfolio performance reports and dashboards for senior management, regulators, and key stakeholders, including ad-hoc credit risk analysis and advisory.

  • Collaborate with Analytics Support and IT Teams to enhance the Analytics data mart and support system improvements that strengthen portfolio management capabilities.

Qualifications

  • Master’s degree in data science, Statistics, Engineering, Economics, Finance, or related quantitative field.

  • 5-8 years of experience in credit risk analytics, portfolio management, or risk modelling, ideally within SME or Retail Banking

  • Strong analytical mindset with experience analyzing large datasets and translating insights into actionable business and risk decisions.

  • Proficient in analytical tools, visualization tools, and programming languages (e.g., SAS, SQL, Python, Power BI, or R), with experience handling large datasets and data warehouses / analytics data marts.

  • Good understanding for credit risk concepts, product structures, regulatory requirements, and portfolio reporting frameworks in banking.

  • Excellent communication and stakeholder management skills, with the ability to present complex analytical findings to non-technical business and senior leaders.

  • Proficient in English (written and verbal), with confident presentation and documentation skills.

  • Willing to learn adapt with ’can do’ attitude; pragmatic and focused on both short & long-term results

  • Strong interpersonal skills with Entrepreneurial mindset.


Remark: The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank’s policy.

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.

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Bangkok (City Area)

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