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Jobs or company...

Business Analytics - Business Strategy & Intelligence, Group Retail Banking

Salary undisclosed
Checking job availability...
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Req ID: 6820
Job Description:

Duties & Responsibilities


  • ETL Processes: Design and implement robust ETL processes to extract, transform, and load data from diverse sources, ensuring the seamless scheduling and orchestration of data preparation workflows.

  • Data Visualization: Create and maintain advanced data visualizations that provide actionable insights, empowering data-driven decision-making across the organization.

  • Statistical Modeling: Lead the development and implementation of sophisticated statistical models, including decision trees, regression analysis, and other predictive techniques to support business strategies.

  • Data Science: Leverage cutting-edge data science methodologies to analyze complex datasets and generate impactful insights that drive business transformation.

  • Python Development: Design, develop, and maintain scalable web applications using Flask/Django frameworks, ensuring alignment with business objectives and technical requirements.

  • Machine Learning (ML): Spearhead the development and deployment of machine learning models to address key business challenges and optimize processes.

  • Natural Language Processing (NLP): Apply NLP techniques to extract and interpret valuable insights from text data, enhancing the organization’s ability to leverage unstructured information (Good to have).

  • Large Language Model (LLM): Demonstrate knowledge of Retrieval-Augmented Generation (RAG) systems and prompt engineering for LLM applications, driving innovation in data processing and decision support (Good to have).

  • Collaboration: Partner closely with business analysts, product owners, and cross-functional teams to gather requirements and deliver optimal, scalable solutions aligned with business priorities.

  • Documentation: Maintain comprehensive documentation of code, application logic, and system architecture to ensure knowledge sharing, long-term maintainability, and effective onboarding.

  • Support: Provide ongoing technical support to application users, troubleshooting issues, performing testing, and executing bug fixes to maintain operational excellence.

  • Ad-hoc Analysis: Conduct high-priority ad-hoc analysis to address specific business challenges, delivering insights and recommendations that drive immediate business outcomes.

  • Compliance: Ensure rigorous adherence to internal policies, guidelines, and external regulatory requirements, safeguarding organizational integrity and operational compliance.

  • Process Alignment: Continuously align processes and procedures with the bank's policy, industry standards, and regulatory requirements, ensuring operational efficiency and compliance.

  • Special Projects: Take a leadership role in special projects as required, ensuring alignment with strategic goals and driving impactful outcomes.

  • Undertake additional assignments as directed by senior leadership under the Chief Business Officer, contributing to organizational objectives and strategic initiatives.


Job requirements

  • Bachelor’s degree in computer science, Data Science, Statistics, or a related field.
  • Proficiency in Python and experience with libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow.
  • Strong understanding of ETL processes and data visualization tools (e.g., Tableau, Power BI).
  • Experience with statistical modelling techniques (e.g., decision trees, regression analysis).
  • Knowledge of machine learning, NLP and LLM techniques.
  • Excellent problem-solving and communication skill.
  • Ability to work collaboratively in a team environment.
  • Strong attention to detail and ability to manage multiple tasks.
  • Good communication skills and leadership skills. Having an ability to form strong and lasting relationships with others.
  • Self-driven and proactive, have strong and innovative problem-solving skills and welcoming to change.
  • Experience with self-service analytics tools and platforms.
  • Knowledge of CRM systems and their integration with front-end applications.
  • Possess business acumen and insight.
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