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Pricing Analytics Specialist

Pricing Analytics Specialist

MaybankJakarta Utara, Jawa, Indonesia
2 days ago
Job description

Key Requirements & Responsibilities

  • Machine Learning Expertise : Apply a wide range of machine learning algorithms for tasks such as demand forecasting, price elasticity / sensitivity modeling, customer segmentation, churn prediction, and next base offer.
  • Personalized Pricing Recommendation : Utilizing customer data to offer optimal pricing tailored to individual needs and behaviors.
  • Graph Analytics Development : Spearhead initiatives utilizing graph databases and graph analytics to uncover hidden relationships and patterns within customer networks, transaction data, and product interactions.
  • Data-Driven Insights & Communication : Translate complex analytical findings into clear, actionable business recommendations for stakeholders.
  • Collaboration & Mentorship : Work collaboratively with cross-functional teams (product, finance, IT) and mentor junior data scientists within the team, fostering a culture of continuous learning and analytical excellence.
  • Model Implementation & Monitoring : Ensure robust deployment, monitoring, and ongoing optimization of analytical models in a production environment.
  • Monitor and analyze competitive pricing trends to maintain a competitive edge

Required Skills and Experience

  • Advance analytics & Machine learning skills : Proficiency in statistical modeling, predictive analytics, and various machine learning techniques (e.g., regression, classification, clustering, time series analysis, deep learning).
  • Technical expertise : Strong command of programming languages (SQL, Python and / or R) and data visualization tools (Looker / Power BI / Tableau).
  • Graph analytics : Familiarity with graph databases (Neo4j / GraphX) and graph algorithms.
  • Domain knowledge : Basic understanding of banking products, financial markets, and basic finance.
  • Problem-solving skills : Ability to identify and solve complex business problems through data-driven approaches.
  • Communication skills : Both written and verbal, English and Bahasa Indonesia

    • Preferred Qualifications

  • Advanced degree in statistics, mathematics, computer science, or economics.
  • Experience in a financial institution.
  • Certifications in data science or machine learning.

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    Specialist • Jakarta Utara, Jawa, Indonesia