Assistant Manager, Data Scientist

(Data Analyst)

Woori Bank Cambodia

Boeng Keng Kang | Phnom Penh

1 Post

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Assistant Manager, Data Scientist

Assistant Manager, Data Scientist

Woori Bank Cambodia

APPLY HERE

Assistant Manager, Data Scientist

(Data Analyst)

Woori Bank Cambodia

Cambodia - Phnom Penh

Boeng Keng Kang | Phnom Penh

1 Post

1 week ago

APPLY HERE

Experience level

Experienced Non-Manager

Job Function

IT Hardware, Software

Job Industry

Banking/ Insurance/ Microfinance

Min Education Level

Bachelor Degree

Job Type

Full Time

Job Description

An Exciting Opportunity for ...

Data & Business Understanding.
Data Collection and Preparation.
Data Exploration and Analysis.
Feature Selection and Engineering.
Model Building and Evaluation.
Hyperparameter Optimization.
Cross-Validation.
Model Deployment.
Data & Business Understanding.
Data Collection and Preparation.
Data Exploration and Analysis.
Feature Selection and Engineering.
Model Building and Evaluation.
Hyperparameter Optimization.
Cross-Validation.
Model Deployment.
Presentation to stakeholder to understand of the finding from ML/AI mechanism.
Monitoring Daily/Monthly model processing .
Reporting on the error finding.
Join work with Data Engineer, Data Analytic and Reporting.
Ensure on time implementation of PDM performance development, coaching and annual appraisal with manager.
Build and maintain relationship with staff, manager and other stakeholders.
Other tasks assigned by line manager.

Open To

Male/Female

Job Requirements

Bachelor in Information Technology/Data Analyst/Statistic/Data Science
At least 2 years experiences: In BI tools, programming (Python/R), data analysis, statistical and Machine Learning/AI, In Oracle database, Postgres, SQL Server & Big Data tools, Creative, good problem solving and research skills.
Good understanding of T24 Core banking, Mobile Banking, NBC System.
Identify and collect relevant datasets along with Analysts.
Manage new and existing datasets.
Design and upkeep explanatory data models.
Produce predictive models and maintain forecasts.
Conceptualize financial drivers of commodity markets and translate them into quantitative trading systems using advanced analytics including machine learning techniques.
Analyze cross commodity correlations and portfolio dependency/performance in different macro environments.
Business analysis, analytic report/dashboard, business concept, product feature.
Highly complex problem-solving and critical thinking ·
Good communication with relevant stakeholders.
Adapt with changed management and new environment.