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
