Vice President, Data Scientist, Group Retail

UOB Venture; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

United Overseas Bank Limited (UOB) is expanding its analytics capabilities in AML/FCR. We are seeking a senior data scientist to lead end-to-end model development, governance and regulatory analytics support within our analytics team.

You will collaborate with business analysts, data engineers and end-users to translate complex data into actionable insights, build and maintenance models, and contribute to high-priority projects while adhering to governance and ethics standards.

Qualifications

• 6–8 years of experience in technology with data science involvement.
• 2–4 years with advanced analytical models / ML.
• Strong project management skills (4+ years).
• Experience in AML/FCR/compliance analytics is a plus.

Responsabilités

• Support model maintenance and recalibration to prevent drift.
• Develop new models with end-to-end analytics collaboration.
• Contribute to special/high-priority projects and governance.
• Assist in model governance, testing and ethics compliance.

Connaissances

SQL

Python

R

SAS

Pandas

Keras

TensorFlow

Scikit-learn

Data wrangling

ML libraries

BI tools

Data visualization

Formation

Bachelor's degree in Computer Science/Engineering/Statistics/Mathematics/Business Analytics

Outils

Pandas

Keras

TensorFlow

Scikit-learn

SQL

Description du poste

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.

Company

Company: 1011 United Overseas Bank Ltd

Job Description

RESPONSIBILITIES AND ACTIVITIES

Support model maintenance

• Liaise with Business Analyst to receive and understand business feedback on model performance and incorporate feedback into models
• Re-train and recalibrate existing FCR analytical models to prevent model drift periodically or as needed

New model development

• Work closely with model end-users and other key stakeholders (e.g., Head of FCR Analytics, Business Analyst, Data and Ops Engineer, GC) to identify additional areas which require analytics support or future model build and include those models in development pipeline
• Develop model narratives (e.g., purpose, logic, parameters, data requirements, output surfacing / structuring) in collaboration with the business and other relevant stakeholders
• Work closely with other Data Scientist(s) and Business Analyst, and undertake the end-to‑end FCC model development, including data wrangling, exploratory data analysis, feature selection, model selection, training, testing, etc.
• Build a range of models (rule-based, supervised / unsupervised models, etc.) on structured, semi-structured, and/or unstructured data if needed

Special projects

• Support special / high-priority projects, including building FCR analytical capabilities in response to external (e.g., regulatory) requests or internal intelligence, or based on gaps identified for existing analytical capabilities / models
• Keep abreast with the latest, cutting-edge developments in data science and advanced analytics and recommend adoption of best practices within the bank, in relation to FCC/ AML
• Communicate with Business Analyst to understand new regulatory requirements / policy updates relating to the areas / risks covered by the FCC analytical models and work with the relevant teams to ensure that these updates are appropriately reflected in those models

Model governance

• Support the Head of Customer Franchise & Analytics or delegates in identifying enhancements to existing model governance policies and processes, particularly in relation to newly built models
• Participate in the model governance process, including but not limited to model testing, assessing models for biases and for compliance with applicable ethics standards

Requirements

• 6 – 8 years of experience working in the technology space and preferably at least 2 - 4 years of data science / data analytics experience
• At least 2 - 4 years of experience working with advanced analytical models/tools/applications (e.g., machine learning).
• Prior experience working on large-scale analytics projects would be preferred
• Strong project management skills with at least 4 years of experience
• Experience in or familiarity with analytics related to AML/FCR/compliance risks
• Ability to clearly communicate technical results in an easy-to understand manner and tailoring them to different audiences
• Bachelor's degree, or equivalent, in Computer Science, Engineering, Statistics, Mathematics, Business Analytics etc.
• Having data analytics experience in Anti Financial Crime is a strong plus.

Technical Skills

• Candidate is expected to be an expert in using SQL, Python, R, or SAS for data science and advanced analytics, with practical knowledge of data wrangling and machine learning libraries (e.g., Pandas, Keras, Tensorflow, Sklearn)
• Comfortable working with structured and unstructured data and distributed databases
• Familiarity with one or more BI and dashboarding tool such as Qlik, Power BI or Tableau.
• Excellent data visualization and communication skills to present findings and insights to different stakeholders, including non-technical business users.
• Familiar with natural language processing and network link analysis
• Familiar with best practice development standards

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.