Job Description

Create the future with Affin! ​​You too can make a difference.

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, assess and analyze relevant datasets along with Business Analysts in IT, Data Governance and Business Users.

• Perform and contribute to ongoing management of new and existing datasets in the Enterprise Data Hub for data analytics purposes.

• Design and upkeep explanatory data models.

• Produce predictive models (e.g., propensity, churn, response, cross-sell) and maintain plus evaluate models’ performance.

• Contribute to data strategy with Data Governance and Data & Analytics 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 Data Engineer, Data Governance and IT 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 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.

• Execute end-to-end analytics for marketing and customer campaigns, including leads generation, leads tracking, and post-campaign analysis.

Job Requirements

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

• Has a minimum four 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 (Python and R or equivalent) 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.

• Recognize and understand various Business Intelligence Tools and Participate in the development of dashboards.

• Expected to keep up with new technologies and apply effects on the existing environment.

• Good to have experience in campaign analytics, lead generation, or marketing data science.

• Good to have experience with campaign tracking, attribution, and performance measurement.

• 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.

• Change management.

• Problem solving