Director, Data Science and Innovation, CIB
- Singapore
- Permanent
- Full-time
They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They're responsible for being an expert in digital products and services and partner with our sales and coverage teams.About Corporate & Investment Banking (CIB)
For more than 170 years we've support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20,000 clients in the world's fastest-growing economies and most active trade corridors.Key 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
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.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
- 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.
- Technology and Engineering teams across the bank
- Corporate and Investment Banking (CIB) business teams
- Digital, Data & Coverage Platforms (DDCP)
- Degree in Computer Science, Software Engineering, IT, or related fields
- 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
- 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
- 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
- Data Science
- Python
- NLP
- Deep Learning
- Stakeholder Management
- Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
- Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
- Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
- Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
- Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
- Flexible working options based around home and office locations, with flexible working patterns.
- Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
- A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
- Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.