Malayan Flour Mills Berhad

Manager, Personal Financial Services (Data Scientist)

Malayan Flour Mills Berhad  •  Malaysia (Onsite)  •  24 days ago
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Job Description

If you are looking to excel and make a difference, take a closer look at us…

Functional (job responsibilities)

  • Initiate and run analytics projects for the Personal Financial Services (PFS) units to drive sales, increase revenue via cross sell and up sell, improve customer retention and engagement, develop, and continuously improve customer segmentation using Advanced Data Analytics, Machine Learning, Artificial Intelligence, etc.

  • Embed the use of data analytics to assist business decision making. Eg. Sales and acquisition strategy, revenue generation through up sell and cross sell, etc.

  • Drive operational efficiency and effectiveness improvement in the team using innovation and technology. Eg. Stream lining processes, automating manual processes, campaign tracking, etc.

  • Managing data-driven projects from conception to completion, ensuring that they are completed on time, within budgets and meet the desired goals and objectives.

  • Working closely with stakeholders and decision-makers to understand the business requirements and develop data-driven solutions that address those needs.

  • Analyzing large and complex datasets, applying statistical and machine learning methods to extract meaningful insights and develop predictive models.

  • Creating clear and compelling data visualizations and reports to communicate findings and recommendations to the stakeholders and decision-makers.

  • Possessing excellent communication and interpersonal skills, with the ability to effectively communicate findings and recommendations to both technical and non-technical stakeholders.

  • Staying up-to-date with the latest data science tools and techniques, and continuously learning and improve skills to stay at the forefront of the field.

  • Play an active role in the overall bank and department AI strategy.

Managerial (team/group responsibilities)

  • Conduct code review and Provide mentorship to the junior data scientist to ensure that they have the skills and knowledge necessary to deliver high-quality solutions.

Organizational (organizational responsibilities)

  • To ensure alignment to the Division and Bank’s strategic intent and goals for the financial year.

Education/Qualification

  • Degree in Data Science, Actuarial Studies, Banking/Finance, Business, Marketing, Mathematics/Statistics,Market Research or related disciplines

Experience

  • Minimum 3 years’ experience in related field

Special Skills

  • Excellent understanding of and proficiency in SQL and Python. Capable of scripting in SQL and using tools like Tableau. Experience with a Gauss DB Solutions environment and SAS is an asset.

  • Modelling experience is a must. eg. Segmentation, propensity, etc .

  • Knowledge of banking products is an added advantage.

  • Creative thinker and able to identify innovative solutions to current environment

  • Strong project management skills, with the ability to lead data science projects from ideation to implementation.

  • Strong analytical and problem-solving skills, with the ability to analyze complex datasets and identify insights.

  • Strong communication and interpersonal skills, with the ability to effectively communicate findings and recommendations to both technical and non-technical stakeholders.

  • Familiarity with Google Cloud Platform (GCP) and its data science services (e.g., Vertex AI, BigQuery, Model Garden)

  • Experience with MLOps practices and tools

About Hong Leong Bank

We are a leading financial institution in Malaysia backed by a century of entrepreneurial heritage. Providing comprehensive financial services guided by a Digital-at-the-Core ethos has earned us industry recognition and accolades for our innovative approach in making banking simpler and more effortless for our customers. Our digital and physical offerings span across a vast nationwide network in Malaysia, strengthened with an expanding regional presence in Singapore, Hong Kong, Vietnam, Cambodia, and China.

We seek to strike a balance between diversity, inclusion and merit to achieve our mission of infusing diversity in thinking and skillsets into our organisation. Candidates are assessed based on merit and potential, in line with our mission to attract and recruit the best talent available. Expanding on our “Digital at the Core” ethos, we are progressively digitising the employee journey and experience to provide a strong foundation for our people to drive life-long learning, achieve their career aspirations and grow talent from within our organisation.

Realise your full potential at Hong Leong Bank by applying now.

Malayan Flour Mills Berhad

About Malayan Flour Mills Berhad

Established in 1961, Malayan Flour Mills Berhad (MFM) is the pioneer in the flour milling industry in Malaysia. MFM has grown to become the leading flour miller in Malaysia with regional presence in Vietnam and Indonesia. Over the years, we have expanded into poultry integration, aquaculture, and raw material trading. In FY21, the group revenue was RM2.43 billion.

MFM is one of the major poultry integrators in poultry feeds, breeding, farming with a state-of-the-art processing facility across the poultry value chain. Designed to meet the domestic and international markets, the advanced facility will process up to 300,000 birds per day.

With our asset of 3,000 people, we have transformed and grown in Malaysia and regionally. Synergising with our workforce, we embrace Artificial Intelligence, Big Data, Internet of Things (IoT) in our day-to-day business. Through our partnership with Tyson Food, Inc. and Toyota Tsusho Group, we aspire to be a leading global halal food enterprise while achieving sustainable development goals.

Building the workforce of the future…Today. We invite you to be part of our team!

Visit https://www.mfm.com.my/careers/ or apply via the Jobs tab in Linkedin.

Industry
Food & Beverage
Company Size
201-500 employees
Headquarters
Kuala Lumpur, MY
Year Founded
1961
Website
com.my
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