Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 24 days ago

VP, Specialised Investigation Team

uobgroup56 open roles

Where
Central Region (City Area)
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowVP, Specialised Investigation Teamuobgroup · Central Region (City Area)

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on uobgroup's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. uobgroup postings stay open a median of 11 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 24 days ago

uobgroup median: 11 days open

The posting

Company: 1011 United Overseas Bank Ltd

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

About the Specialised Investigation Team

The Specialised Investigation Team (SIT) sits within Investigation & Intelligence, Group Compliance and conducts complex and specialist financial crime investigations. These include network investigations and reviews relating to areas such as correspondent banking, trade-based money laundering, sanctions, PEPs, tax evasion, shell companies, intelligence-led themes, and scam networks.

SIT uses data analytics models and tools to support the identification, prioritisation and investigation of potentially significant financial crime risks.

Role Overview

We are seeking an experienced AML professional to join SIT’s AML Analytics Excellence & Integration Team and support the continued evolution of SIT’s data analytics models, tools and thematic capabilities.

This is a forward-looking role focused on identifying opportunities to strengthen investigative value, broaden risk coverage and develop more integrated, effective and sustainable data analytics capabilities for SIT. The successful candidate will bring together investigation insights, emerging typologies, industry developments and user feedback to support the future direction of assigned SIT models and tools.

Working closely with the Lead, AML Analytics Excellence & Integration, the candidate will translate opportunities into clear enhancement priorities and delivery-ready business requirements. The role will also collaborate with SIT investigators, intelligence and risk-domain specialists, partner data analytics teams, and technology stakeholders to progress initiatives from assessment and prioritisation through implementation and outcome review.

Key Responsibilities

  • Support the Lead, AML Analytics Excellence & Integration in shaping SIT’s future data analytics strategy and priorities.
  • Maintain the roadmap and end-to-end view of assigned SIT models, tools and enhancement initiatives.
  • Identify opportunities to strengthen investigative value, extend risk coverage and connect complementary analytics capabilities.
  • Translate investigation insights, emerging typologies and user feedback into actionable enhancements and delivery-ready business requirements.
  • Assess and recommend initiatives based on financial crime risk, investigative value, feasibility, operational impact and dependencies.
  • Coordinate delivery with SIT investigators, intelligence and risk specialists, partner data analytics teams and technology stakeholders.
  • Support business validation, user acceptance testing, implementation readiness and integration into SIT’s investigative workflows.
  • Evaluate enhancement outcomes using investigator feedback, investigative relevance, usability and intended benefits.
  • Escalate material delivery risks and dependencies, while providing clear portfolio updates and recommendations.
  • Collaborate with the wider AML Analytics Excellence & Integration Team to align model enhancements with intelligence, governance and reporting priorities.
  • Monitor emerging risks, analytical methods and technologies that could create further value for SIT.
  • Share effective approaches and lessons learned to support continuous improvement across SIT’s data analytics capabilities.

Requirements

  • Practical experience conducting AML investigations and assessing customer activities, transactions, relationships and supporting information.
  • Experience in AML data analytics, model enhancement, detection development, thematic reviews or related financial crime work.
  • Strong understanding of AML risks, typologies, red flags and detection approaches.
  • Ability to connect investigation findings and emerging risks with data analytics opportunities.
  • Ability to translate opportunities into clear business requirements, expected outcomes and success measures.
  • Experience working across investigation, intelligence, analytics, product and technology stakeholders.
  • Strong analytical judgement, delivery discipline and stakeholder-management skills.
  • Collaborative mindset, with the ability to contribute effectively within an integrated, cross-functional team.
  • Clear written and verbal communication, including the ability to present complex matters concisely to management.

Preferred Experience

  • Experience with AML models, detection scenarios, thematic dashboards or network analytics.
  • Experience developing enhancement proposals, business requirements and testing materials.
  • Experience coordinating model integration, implementation or post-implementation reviews.
  • Familiarity with data analytics, visualisation and emerging analytical technologies.
  • Experience contributing to portfolio roadmaps, governance forums or industry initiatives.
  • Relevant AML, financial crime, business analysis, project management or data analytics certification would be advantageous.

Candidate Profile

The ideal candidate combines practical AML investigation experience with a forward-looking approach to data analytics and detection capability development.

The candidate should be able to identify how emerging risks, investigation insights, new data and analytical methods can deliver greater value to SIT. The individual will be structured, inquisitive and outcome-focused, with the ability to convert opportunities into sustainable enhancements.

The successful candidate will work collaboratively with the Lead, AML Analytics Excellence & Integration, other team members, investigators, subject matter experts, partner data analytics teams and technology stakeholders. The role is suited to someone who can contribute specialised model enhancement and integration expertise while maintaining a broader view of SIT’s collective analytics priorities.

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

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against uobgroup's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on uobgroup's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    uobgroup's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.