Data Scientist

East West Bank
San Jose, CA, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Data Visualization Fraud Prevention and Detection R (Programming Language) Python (Programming Language) Machine Learning Power BI SQL Databases Tableau (Software) Information Technology Data Analytics Performance Monitor

Job description

Our Digital Products and Channels team is looking for experienced professionals to join us in Makati with the role of Data Scientist.

In this role you will support the development and implementation of machine learning models and data-driven solutions that enhance fintech products, business performance, and risk management outcomes. You will analyze financial and business data to generate actionable insights, enabling smarter decision-making and contributing to the achievement of the Business Unit’s strategic goals.

Your dream. Our focus.

East West Banking Corporation (EastWest) is one of the largest universal banks in the Philippines, and is committed to continuously invest in people and in process, product, and service enhancements, and embrace new ideas to enhance the EastWest experience.

We empower our employees to drive their careers and are committed to provide the runway for them to grow. We value teamwork and individual initiative. Join us and be part of a highly engaged team, and a workplace that promotes development and goal attainment.

Whether you’re just starting out, or already a seasoned professional, EastWest can help you unleash your potential, and bridge the gap between dream to success.

What the role will entail

  • Develop, deploy, and optimize machine learning models to address key fintech challenges such as fraud detection, credit risk assessment, and customer segmentation.
  • Analyze large and complex datasets to uncover actionable insights that support strategic business decisions and operational improvements.
  • Collaborate with business analysts and cross-functional teams to perform exploratory data analysis and translate business needs into data-driven solutions.
  • Design and maintain interactive dashboards and data visualizations that enable stakeholders to monitor performance and make informed decisions.
  • Monitor, maintain, and continuously improve the accuracy, efficiency, and effectiveness of existing machine learning models and algorithms.
  • Support the reduction of fraud losses and enhancement of operational efficiency through the successful implementation of advanced analytics and machine learning solutions.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or any related field.
  • Minimum of 5 to 6 years of experience in data analytics, machine learning, or data science within fintech, banking, or financial services, including at least 1 year in a leadership role.
  • Strong knowledge of statistical analysis, machine learning algorithms, and predictive modeling techniques, with experience applying them to business and risk management challenges.
  • Proficient in Python, R, SQL, and data visualization tools such as Tableau or Power BI, with experience in financial data analysis and reporting.
  • Demonstrated ability to develop data-driven solutions for fintech use cases, including fraud detection, credit risk assessment, customer analytics, and operational optimization.

Benefits & conditions

  • Competitive salary package and benefits
  • Performance-based incentives and recognition programs to reward high-performing individuals
  • Opportunity to work with industry experts and be mentored by them
  • Defined career progression paths to guide you in your professional growth

Apply for this position

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