Job Description

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.

Job Requirements