Job Summary
Corporate and Investment Banking (CIB) at Standard Chartered Bank has embarked on an ambitious journey to incorporate the latest AI and data science capabilities in all aspects of our business. This includes our Financial Markets and Transaction Banking businesses. To that end, we are seeking a senior data scientist with strong background and experience in developing and deploying sound AI solutions using both the classical machine learning techniques as well as the latest Large Language Models.
RESPONSIBILITIES
Liaise with product owners and business stakeholder, identify pain points and business use-cases and gather requirements
Understand business use-cases and develop AI/ML solutions for various business use-cases in collaboration with product owners and the wider team
Productionize the developed solutions in collaboration with MLOps Engineer and the wider Tech and Data team
Stay up-to-date with recent developments in Data Science and NLP domains: algorithms, best practices etc. and disseminate them across the team
• Mentor and upskill more junior team members
Strategy
Support the development of data and AI solutions in cooperation with business stakeholders, IT teams and other relevant parties and to assure that solutions are aligned to the business strategy, released on time, on budget and with high quality.
Key Responsibilities
Governance*
• Ensure data quality (DQMF) is applied for data analytics and AI projects
• Adherence to Risk & Data Quality Management Requirements
• Risk and Audit Continuous management of the Trade Application System risk
• Proactively identify issues and actions
• Monitor and remediate issues and actions from audits
• Awareness of the regulatory requirements and ensuring these are catered for in the platform design
Regulatory & Business Conduct *
• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Our Ideal Candidate
8+ years of experience in machine learning, data science and/or other relevant quantitative roles - Banking, finance, fraud, risk
Proficient in Object-Oriented Programming (OOP) in Python
Experienced Data Scientist with in-depth knowledge of machine learning, deep learning and statistical analysis techniques
Experience in NLP/DocumentAI, Entity Matching, Anomaly and Fraud detection would be an advantage
Proficient in using ML, DL, and NLP libraries such as Scikit-learn, HuggingFace, LangChain and PyTorch
Experience in using big data tools such as Hadoop, Spark and Hive in a cloud environment would be beneficial
Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders
Self-driven and highly motivated professional with a strong sense of ownership and a passion towards delivering high-quality client solutions
Role Specific Technical competencies
Familiar with CI/CD and MLOps frameworks and building end-to-end ML pipelines.
Experienced in leading and delivering data science projects and supervising/mentoring junior resources
Experience in working in an agile environment.
Data Science
Python
NLP
Deep Learning