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Data Analyst Position

1 week ago

Quezon City, National Capital Region, Philippines GoTyme Bank Full time

About GoTyme Bank

We are a joint venture between the Gokongwei Group, one of the Philippines' biggest conglomerates, and Tyme, a digital banking group from Singapore. Our goal is to bring next-level banking to the Philippines by democratizing financial services.

We seek individuals who share our vision to join our growing team of professionals as we build, launch, and scale a bank that empowers all Filipinos to navigate a path to financial freedom.

Job Description

We are looking for a passionate and energetic Senior Analytics Role holder to turn insights into action and develop data-driven strategies across the bank's value chain (deposits, savings, lending, and investment products).

  • Data Analysis and Insights:
    • Analyze large datasets to identify patterns, trends, and anomalies across critical bank services.
    • Provide actionable insights and recommendations based on the data analysis.
    • Setup and execute test and learn programs to optimize bank marketing, acquisitions, customer management, and fraud strategies.
    • Identity and onboard new data sources that can be leveraged for strategy development.
  • Performance Monitoring:
    • Continuously monitor the performance of bank programs; including, but not limited to marketing/credit/fraud campaigns, strategies, models, policies, and rules.
    • Perform regular updates and recalibrations to maintain model/strategy/rule accuracy and effectiveness.
    • Develop, maintain, and monitor learning agendas that allow the bank to optimize marketing, credit, and fraud strategies.
  • Model Development and Maintenance:
    • Design, develop and maintain internal predictive models.
    • Manage, support and provide oversight on externally-sourced predictive models.
    • Introduce new and innovative solutions such as machine learning techniques to enhance strategies where applicable.
  • Collaboration and Teamwork:
    • Collaborate and work closely with customers, partners, and key stakeholders to help the business arrive at positive outcomes.
    • Engage and embed yourself in pods to understand the business, gain a feel for what is being seen by the "boots on the ground" to perform analysis that produces the right solutions to the case.
  • Innovation and Research:
    • Stay updated with the latest developments in data science using AI and ML.
    • Experiment with new tools, techniques, algorithms and methodologies to enhance the bank's capabilities.

Requirements

  • Bachelor's degree or higher in applied mathematics, statistics, computer science, physics, data science, economics, engineering or equivalent quantitative discipline.
  • 3 to 7 years of related work experience is required.
  • Relevant experience or diplomas, certificates or completed training courses in marketing analytics, credit risk management, data science.
  • Experience applying data science techniques, developing and implementing advanced and/or machine learning models within an e-commerce or banking environment; with proficiency in most of the following: Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor Analysis, Boosting Algorithms etc.
  • Hands on experience working with, manipulating and analyzing large datasets using programming languages such as SQL, R, SAS, Python, etc. and writing the necessary scripts to extract these successfully and efficiently (without timeouts or memory failures).
  • Demonstrated ability in setting up, running, and evaluating tests (A/B, Champion/Challenger/Test and Control, DoE) to turn insights into action.
  • Proficient in supporting analyses and recommendations with the appropriate data visualization using tools like Qlik, PowerBI or Tableau or something similar.
  • Analytical Skills:
    • Strong analytical problem-solving skills.
    • Strong conceptual thinker who provides structured solutions to complex business problems.
    • Analytical animal who translates business problems into equations to drive data driven decision making and interprets complex datasets to find key economic drivers and identify actionable insights.
  • Technical Skills:
    • Proficient in programming languages such as SQL, R, SAS, Python, etc. and experienced with manipulating large datasets.
    • Strong knowledge of statistical concepts, methods and machine learning algorithms.
    • Proven track record of developing, operationalizing, and executing/implementing strategies and models.
  • Communication and Collaboration:
    • Strong communication skills to convey technical concepts to non-technical stakeholders.
    • Possesses the skill to not only pull the data and generate reporting, but also tell the story and extract an insight.
    • Ability to work collaboratively with cross-functional teams and drive positive outcomes for the business.
  • Adaptability and Innovation:
    • Willingness to stay updated with the latest industry trends and technologies.
    • Ability to adapt to changing priorities and work in a fast-paced environment.
  • Attention to Detail:
    • High level of accuracy and attention to detail across data analysis, strategy development, and implementation activities.
    • Rigorous and uncompromising approach to ensuring data quality and integrity.