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Company Overview
The bank provides a full suite of financial products, including asset management, banking, commodities, credit cards, equities trading, insurance, investment management, mortgage loans, mutual funds, and exchange-traded funds. It leverages its extensive global network to connect clients to sustainable growth opportunities across its key regions.
Data Scientist
Responsibilities
As a Data Scientist, you will play a pivotal role in driving the organization’s data-driven strategy and the adoption of AI solutions. Your responsibilities will encompass:
Strategy & Business Impact:
Delivering, building, and maintaining data-driven solutions central to Group Operations’ strategy.
Designing the architecture for Machine Learning (ML), Natural Language Processing (NLP), and Decision Optimization (DO) applications.
Designing ML, NLP, and DO models and algorithms for both predictive and prescriptive analytics.
Translating complex business requirements into clear and insightful reporting dashboards and analytics.
Performing advanced analytics and statistical modeling on both structured and unstructured data.
Collaborating with software engineers to seamlessly integrate and deploy AI applications.
Assisting in the creation of data definitions for new database file/table development or modifications to existing ones, as needed for analysis.
Providing business support through clear and insightful analysis, applying advanced modeling techniques to available data.
Processes & Performance:
Responding to and resolving data mining performance issues.
Monitoring data mining system performance and implementing efficiency improvements.
People & Talent Leadership:
Leading and guiding a team of data science analysts and full-stack AI developers.
Governance & Adoption:
Developing and implementing change management plans to ensure the successful adoption of AI solutions across the organization.
Providing training and support to business users to help them understand and effectively leverage AI tools and technologies.
Fostering a culture of innovation and continuous improvement by promoting the benefits of AI and encouraging experimentation.
Strategic & Business Development:
Working with senior management to develop and refine the bank’s AI strategy, ensuring alignment with overall business objectives.
Identifying and prioritizing AI use cases with the potential to deliver significant business value.
Developing comprehensive business cases for AI projects, including cost-benefit analysis, risk assessment, and ROI estimation.
Our Ideal Candidate
The ideal candidate will possess:
2+ years of experience in Data Science, Machine Learning, AI, and Prompt Engineering.
Strong knowledge and understanding of various lines of business within the banking sector.
A dedicated and passionate approach to continuous improvement and exceeding expectations.
Role-Specific Technical Competencies
Software development experience using .Net framework or Java.
Proven experience completing real-world ML, NLP, and DO projects using R or Python.
Extensive experience in SQL and NoSQL database design, queries, and stored procedures.
Hands-on experience with Windows Server, Azure, AWS, and Git.
Highly proficient in data visualization tools.
Proficiency in documentation (Requirements/Use Cases/Business Rules/User Stories, etc.).
Experience with various report types (Gap Analysis/Problem Analysis/Initial Assessments, etc.).
Experience with process/data modeling (‘As Is’/’To Be’/Visio/Enterprise Architect/System Architect, etc.).
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