Director, Data Science & Innovation, CIB

Standard Chartered Bank; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Flexible working

Wellbeing support

Learning and development

Job summary

Standard Chartered Bank seeks a senior data scientist to lead AI/ML initiatives across Financial Markets and Transaction Banking. You will develop, deploy, and operationalize AI solutions using classic ML and modern large language models in a banking context.

The role requires collaboration with product owners, data engineers, and MLOps to deliver scalable, compliant data-driven solutions while mentoring junior colleagues and staying ahead of industry advances in NLP and AI.

Qualifications

• 6+ years of experience in machine learning, data science or related quantitative roles.
• Proficient in Python with strong ML/DL and NLP knowledge.
• Experience with NLP/DocumentAI, Entity Matching, and fraud detection is advantageous.

Responsibilities

• Liaise with stakeholders to identify pain points and gather requirements.
• Develop AI/ML solutions for business use-cases in collaboration with teams.
• Deploy solutions with MLOps and data engineering support.
• Stay current with DS/NLP advances and share knowledge across the team.
• Mentor junior team members.
• Ensure data quality and governance in analytics projects.
• Support risk management and platform reliability.

Skills

Data Science

Python

NLP

Deep Learning

Stakeholder Management

Education

Bachelor’s degree in Computer Science / related field

Tools

Scikit-learn

PyTorch

HuggingFace

LangChain

Spark

Job description

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.

Key Responsibilities

• Liaise with product owners and business stakeholders, 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.

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 andBusiness 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, escape, mitigate and resolve risk, conduct and compliance matters.

Key stakeholders

• Technology and Engineering teams across the bank
• Corporate and Investment Banking (CIB) business teams
• Digital, Data & Coverage Platforms (DDCP)

Our Ideal Candidate

• Degree in Computer Science, Software Engineering, IT, or related fields
• 6+ 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

Role Specific Technical Competencies

• Data Science
• Python
• NLP
• Deep Learning
• Stakeholder Management

About Standard Chartered

We're a global bank connecting clients to our differentiated network, offering growth opportunities in the world's most dynamic markets. Our strategy, which combines cross-border capabilities and leading wealth management expertise, helps us deliver our purpose - to drive commerce and prosperity through our unique diversity.

Over our 170-year history, and across a unique geographical footprint connecting Asia, Africa and the Middle East to each other and the world, we've built a bank like no other, with diverse capabilities and partnerships that set us apart.

What we offer

• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions, and geographies.
• In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-offincluding 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 workingoptions based around home and office locations, with flexible working patterns.
• Proactive wellbeing supportthrough 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 self-help toolkits.
• A continuous learning cultureto support your growth, with opportunities to reskill and upskill and access to physical, virtual, and digital learning.

Visit our careers website to learn more about us: www.sc.com/careers.

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