Jr. Data Scientist

About Security Bank

We are the Philippines’ largest independent bank, having won countless awards over the years, including one of Euromoney's most prestigious industry awards in 2021—Best Bank in the Philippines.

We’re changing how people bank. From the moment customers enter our branches to their experience online, we make them feel valued and empowered.

Now, with more than 300 branches spanning the country, BetterBanking has become the gold standard in improving the banking lives of millions of Filipinos. But we’re far from done.

In our constant pursuit of excellence and improvement, we create teams that support our business and each other.

The Role

As a Jr. Data Scientist, you will be part of the Data Science Team which works with various business units to discover and develop models, products, or solutions that help the bank achieve its objectives such as improving the operations of the bank, reducing business costs, or increasing the bank’s revenues.

You are expected to be highly analytical, resourceful, and thorough with skills in statistics, math, data science, and data analysis. Critical thinking and problem solving are foremost requirements for coming up with business insights to help stakeholders make data-driven decisions. You will also be required to communicate these insights and reports effectively to the stakeholders in both oral and written forms.

How you'll contribute

• Able to perform data loading, cleansing, transformation, and analysis
• Comfortable with working with large and varied amounts of data across different platforms and sources
• Has a good level of skill with Python
• Able to perform data modeling, including feature selection and engineering
• Works with different units of the bank to determine key areas that can be improved by data science
• Able to communicate insights and findings to various stakeholders
• Works with business analysts in the deployment of the models created (e.g. provide assistance and needed information)

What we’re looking for

• Bachelor's degree in Mathematics/Statistics/Physics, Economics, Finance/Accountancy/Banking; graduate degree in Data Science or other equivalent fields is preferred
• At least 6 months - 1 year of data analysis experience
• Knowledge of basic statistical analyses
• Knowledge in Python primarily; Any of the following programming languages are a plus (SAS, R, and other data analytics tools)
• Practical knowledge of machine learning and deep learning models
• Experience in data mining and wrangling
• Data storytelling skills, excellent analytical and problem-solving skills, good interpersonal and communication skills, visualization skills
• Knowledge of cloud operations and deployment is an asset
• Experience in the banking and financial industry is a plus

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