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.
From the employer’s posting.
About Standard Chartered Bank
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.
Open 5 monthsWe first saw this posting 161 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Jun 6, 2026161 days ago
Recorded sightings
19
Last seen by us
Nov 14, 2026
Jun 6, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 161
860
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past Standard Chartered Bank’s usual: its jobs come down by about day 24.
From 11,873 similar postings that came down, and 140 of Standard Chartered Bank’s. Coming down is not always a hire.
Standard Chartered Bank is hiring
35 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
Hadoop
Hive
Spark
Hugging Face
PyTorch
scikit-learn
Where the posting names them
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
Role Specific Technical Competencies
• Data Science • Python • NLP • Deep Learning • Stakeholder Management
About Standard Chartered
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
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 and 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.
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-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 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.
Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.