Data Scientist

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We continuously innovate to transform our financial services landscape - making banking better and easier. Join us at AFFIN, where the open minds meet and be inspired by a shared commitment to great work. You too can make a difference.

Job Purpose
Process the data and turn it into usable data products that are useful and meaningful to the business to uncover insights, patterns, and relationships from a labelled training dataset and produce an inferred function.

Accountabilities

• Identify, collect and analyze relevant datasets along with Business Analysts at the IT and Business side.

• Perform management of new and existing datasets in the EDW environment. Design and upkeep explanatory data models.

• Produce predictive models and maintain forecasts.

• Design and evaluate data strategy with Business Analyst and Data & Analytics COE team.

• Conceptualize financial drivers of bank activities and translate them into quantitative systems using advanced analytics, including machine learning techniques.

• Analyze cross-data correlations and portfolio dependency/performance in different macro environments.

• Manage the coordination with IT and infrastructure teams to ensure best practices are utilized.

• Lead and manage meetings with team members regarding data projects governed by Data & Analytics Projects Delivery Model.

• Automate and integrate business processes based on request and own research. Propose new use cases to the bank with the assistance of Data & Analytics COE team members.

• Research solutions to overcome data analytics challenges. Develop complex mathematical models that integrate business rules and requirements.

• Create relevant machine learning models in the Google Cloud Platform environment.

• Communicate and meet with relevant stakeholders, IT teams, and other interested parties.

• Share complex ideas verbally and visually in an understandable manner with non-technical stakeholders.

Job Requirements

• Has a BSc/Masters in Data Science/Computer Science/ Mathematics/Statistics or equivalent.

• Has a minimum 5 years of experience in data science and advanced analytics jobs.

• Good knowledge of Univariate and Multivariate Analysis, Missing Value Treatment, Outlier Detection and Treatment, Probability, Statistics, Statistical Modeling, Supervised, Unsupervised Learning, Time-Series Analysis, Feature Engineering, Model Deployment and Mathematical Optimization.

• Understanding of programming language and common data structures and algorithms for data processing and Data Science Modelling.

• Has a good understanding of data warehousing and cloud infrastructure for Data Science solutions.

• Familiarity with high-performance computing.

• Must be a team player and team builder to maximize the synergies between each of the teams, which will play a part in the overall success of the Unit

• Highly self-motivated and self-directing.

• Should have the required experience and confidence to independently manage, coordinate and implement an agreed plan of multiple activities.

• Must have skills in Analytical Thinking, numerically strong, Planning and Organizing, Monitoring Performance, empowerment & Goal Setting.

• Ability to manage projects while working under pressure, have high spirit, improving as per coaching, attitude & behavior in the office.

• High-level experience in methodologies and processes for managing large-scale databases.

• High-level written and verbal communication skills.