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HomeCompaniesWelabWeLab Bank - Assistant Manager, Data Scientist

WeLab Bank - Assistant Manager, Data Scientist

Welab · Quarry Bay, Hong Kong, 100, Hong Kong · Active · BambooHR

Job facts

FieldValue
CompanyWelab
TitleWeLab Bank - Assistant Manager, Data Scientist
Normalized title-
Department / teamBI
LocationQuarry Bay, Hong Kong
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-03-11 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Welab.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Quarry Bay.Open
Department jobsActive postings in BI.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyWelab
Sourcec356cc44-917c-46dd-b509-e4fb5fb108e6
ATS providerBambooHR

Description

WeLab, a leading pan-Asian fintech platform, operates two digital banks (WeLab Bank and Bank Saqu) as well as multiple online financial services in Hong Kong, Mainland China, and Indonesia, with over 70 million individual users and over 700 enterprise customers. WeLab uses game-changing technology to help users access credit, save money, and enjoy their financial journey. At WeLab, we always put our people first. Embarking on a career with WeLab means being part of the driving force to make financial services accessible for everyone. In our flat and agile organization, you will get all the opportunities to make real impacts and deliver change. Most importantly, while you achieve greatness, we will ensure you have an amazing experience at WeLab! Our team is energetic and passionate who can deliver and execute, and we are looking for intellectually curious, open-minded, and smart-working individuals who are just as passionate as we are about making financial services enjoyable. Join us to build a better financial future for everyone! About You: You're a go-getter with mad juggling skills (or multiple hats) who can thrive in a fast-paced, agile environment You enjoy doing purpose-led and meaningful work You have a strong thirst for knowledge and are driven to find solutions that don't exist yet You are comfortable with ambiguity and extremely resourceful (in your past life, you could've been a detective) You always find a way to get things done without sacrificing the quality of your work, integrity, and values No task is off limits for you You are humble and prioritize the success of the team over your own with an eagerness to help those around you You don't shy away from challenges and can bounce back from setbacks What you’ll do and what success looks like in this role: Design and develop predictive models, pricing solutions, recommendation engines, and automation tools for various banking services Perform deep-dive analysis on large datasets to identify patterns and features that improve model performance and business KPIs Assist in the deployment of models into production environments and help maintain the MLOps pipeline for versioning and monitoring. Support the implementation and fine-tuning of Large Language Models (LLMs) and NLP tasks such as sentiment analysis and automated document processing Conduct feature engineering, hyperparameter tuning, and model validation to ensure high accuracy and ethical fairness (bias detection) Partner with Product, Marketing, and Risk teams to translate business requirements into technical data science solutions Create visualizations and dashboards to communicate model performance and insights to stakeholders. What is required and what we’re looking for: 3–5 years of hands-on experience in Data Science, Machine Learning, or a similar analytical role Proficiency in Python and SQL is a must. Solid experience with machine learning libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch Experience working with Spark/PySpark and big data environments to handle large-scale datasets Familiarity with cloud platforms (e.g., AWS SageMaker, GCP Vertex AI) and basic knowledge of MLOps tools (e.g., MLflow, Git) A strong interest in or prior exposure to banking/fintech, specifically in areas like credit scoring, fraud detection, or customer lifetime value Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field A problem-solver who is comfortable with ambiguity and eager to stay updated on the latest AI trends and GenAI technologies Perks and Benefits to enrich your experience at WeLab: Learning and development stipend - we value lifelong learning and believe the best way to invest in our employees is to encourage them to continue to learn Wellness and happiness – Numerous activities to let you focus on your physical and mental wellbeing, complemented by happiness dollars (basically, an extra stipend!) to spend on anything that makes you happy. We allow flexible time offs to take care of personal matters and to enjoy time with family and friends. Comfortable and positive work environment – Open plan office for easy collaboration and social with your colleagues, or branch out into your own thinking pods when needed, with FREE food and drinks for when you want to recharge Work smart, play hard – Connect with your colleagues over food and drinks at the stocked pantry, in the spacious social area with board games and a ping pong table, or over activities like hiking, yoga, badminton, etc. A big and contagious smile on everyone’s face to make you happier :) WeLab’s Awards & Recognitions: Asia Banking Finance Retail Banking Awards: Virtual Bank of the Year - Hong Kong CNBC Disruptor 50: the only Hong Kong-based company on the list Financial Times Asia-Pacific High-Growth Companies: #2 in ranking The Chinese University of Hong Kong “Corporate Innovation Index”: #1 in ranking We offer a competitive salary package to the successful candidate. If you are interested in joining this exciting team, please apply with resume via the "Apply" button below. All information provided by applicants will be used for recruitment purposes only. Information of unsuccessful applicants will be destroyed within 24 months of receipt.

Full job record

Job ID2e00d4c3cecef81af08622b0c5a565e232ae454b
Org ID1732d89d-625d-4ac5-a65f-f98dac39f72b
Source IDc356cc44-917c-46dd-b509-e4fb5fb108e6
Board IDc356cc44-917c-46dd-b509-e4fb5fb108e6
Providerbamboohr
Provider Job Key867
TitleWeLab Bank - Assistant Manager, Data Scientist
Normalized Title
Statusactive
Activeyes
Location TextQuarry Bay, Hong Kong, 100, Hong Kong
DepartmentBI
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
RegionHong Kong
CityQuarry Bay
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://welab.bamboohr.com/careers/867
Apply URLhttps://welab.bamboohr.com/careers/867
First Seen At2026-05-30 06:06:21Z
Last Seen At2026-06-06 10:25:29Z
Last Checked At2026-06-06 10:25:29Z
Last Changed At2026-05-30 06:06:21Z
Inactive At
Source Posted At2026-03-11 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=welab/date=2026-06-06/2026-06-06T10-25-26-232Z-3fd462d2004097e8084fead427a854cc3e77b22d0a2d2a75d53e096b3b5ed823.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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    "description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">WeLab, a leading pan-Asian fintech platform, operates two digital banks (WeLab Bank and Bank Saqu) as well as multiple online financial services in Hong Kong, Mainland China, and Indonesia, with over 70 million individual users and over 700 enterprise customers. WeLab uses game-changing technology to help users access credit, save money, and enjoy their financial journey.</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">At WeLab, we always put our people first. Embarking on a career with WeLab means being part of the driving force to make financial services accessible for everyone. In our flat and agile organization, you will get all the opportunities to make real impacts and deliver change. Most importantly, while you achieve greatness, we will ensure you have an amazing experience at WeLab!</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Our team is energetic and passionate who can deliver and execute, and we are looking for intellectually curious, open-minded, and smart-working individuals who are just as passionate as we are about making financial services enjoyable.</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Join us to build a better financial future for everyone! </span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">About You:</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">You're a go-getter with mad juggling skills (or multiple hats) who can thrive in a fast-paced, agile environment</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">You enjoy doing purpose-led and meaningful work</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">You have a strong thirst for knowledge and are driven to find solutions that don't exist yet</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">You are comfortable with ambiguity and extremely resourceful (in your past life, you could've been a detective)</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">You always find a way to get things done without sacrificing the quality of your work, integrity, and values</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">No task is off limits for you</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">You are humble and prioritize the success of the team over your own with an eagerness to help those around you</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">You don't shy away from challenges and can bounce back from setbacks</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What you’ll do and what success looks like in this role:</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Design and develop predictive models, pricing solutions, recommendation engines, and automation tools for various banking services</span></li>\n<li><span style=\"font-size: 12pt\">Perform deep-dive analysis on large datasets to identify patterns and features that improve model performance and business KPIs</span></li>\n<li><span style=\"font-size: 12pt\">Assist in the deployment of models into production environments and help maintain the MLOps pipeline for versioning and monitoring.</span></li>\n<li><span style=\"font-size: 12pt\">Support the implementation and fine-tuning of Large Language Models (LLMs) and NLP tasks such as sentiment analysis and automated document processing</span></li>\n<li><span style=\"font-size: 12pt\">Conduct feature engineering, hyperparameter tuning, and model validation to ensure high accuracy and ethical fairness (bias detection)</span></li>\n<li><span style=\"font-size: 12pt\">Partner with Product, Marketing, and Risk teams to translate business requirements into technical data science solutions</span></li>\n<li><span style=\"font-size: 12pt\">Create visualizations and dashboards to communicate model performance and insights to stakeholders.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What is required and what we’re looking for:</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span>3–5 years of hands-on experience in Data Science, Machine Learning, or a similar analytical role</span></span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span>Proficiency in Python and SQL is a must. Solid experience with machine learning libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch</span></span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span>Experience working with Spark/PySpark and big data environments to handle large-scale datasets</span></span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span>Familiarity with cloud platforms (e.g., AWS SageMaker, GCP Vertex AI) and basic knowledge of MLOps tools (e.g., MLflow, Git)</span></span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span>A strong interest in or prior exposure to banking/fintech, specifically in areas like credit scoring, fraud detection, or customer lifetime value</span></span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span>Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field</span></span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span>A problem-solver who is comfortable with ambiguity and eager to stay updated on the latest AI trends and GenAI technologies</span></span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Perks and Benefits to enrich your experience at WeLab:</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Learning and development stipend - we value lifelong learning and believe the best way to invest in our employees is to encourage them to continue to learn</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Wellness and happiness – Numerous activities to let you focus on your physical and mental wellbeing, complemented by happiness dollars (basically, an extra stipend!) to spend on anything that makes you happy. We allow flexible time offs to take care of personal matters and to enjoy time with family and friends.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Comfortable and positive work environment – Open plan office for easy collaboration and social with your colleagues, or branch out into your own thinking pods when needed, with FREE food and drinks for when you want to recharge</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Work smart, play hard – Connect with your colleagues over food and drinks at the stocked pantry, in the spacious social area with board games and a ping pong table, or over activities like hiking, yoga, badminton, etc.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">A big and contagious smile on everyone’s face to make you happier :)</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">WeLab’s Awards &amp; Recognitions:</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Asia Banking Finance Retail Banking Awards: Virtual Bank of the Year - Hong Kong  </span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">CNBC Disruptor 50: the only Hong Kong-based company on the list </span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Financial Times Asia-Pacific High-Growth Companies: #2 in ranking  </span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">The Chinese University of Hong Kong “Corporate Innovation Index”: #1 in ranking </span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">We offer a competitive salary package to the successful candidate. If you are interested in joining this exciting team, please apply with resume via the \"Apply\" button below.</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">All information provided by applicants will be used for recruitment purposes only. Information of unsuccessful applicants will be destroyed within 24 months of receipt.</span></p>",
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