Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quantum Computing Specialist, Data Science & Innovation, CIB(UK, Singapore)

Standard Chartered
City of London
1 week ago
Create job alert
Job Summary

We are looking to expand our in-house quantum computing capabilities within the Data Science & Innovation team at Standard Chartered. We are looking for someone with a curious mind and experience with classical and quantum machine learning methods to contribute to our diverse and international team.

Key Responsibilities
  • Develop and execute innovative quantum machine learning techniques to solve a range of financial services use cases.
  • Work with universities / research organisations on collaborative engagements that create patentable deliverables for the bank.
  • Work with governments and regulators in our footprint markets to lead the financial services industry in the journey to quantum advantage.
  • Understand and apply state of the art GenAI techniques to address business challenges
  • Translate AI concepts into practical code examples and provide accessible sample workbooks for wider team use
  • Seek and acquire new AI knowledge and share with the rest of SCB data science community
  • 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.
Strategy

Awareness and understanding of Standard Chartered’s innovation strategy and Here for Good promise.

Business

Awareness and understanding of Standard Chartered’s global footprint and business.

Processes

Awareness and understanding of CIB and CIB PLATFORMS’s organisational structure.

People & Talent

Proactive participation in making CIB PLATFORMS a diverse and inclusive environment for all colleagues.

Risk Management

Awareness and understanding of IT risk and data privacy restrictions

Governance

Awareness and understanding of SC IT standards

Skills and Experience

Data Science, Machine Learning, Financial Markets / Transaction Banking, Statistics, Gate Model Quantum Computing, Genetic Algorithms, Generative AI Models, Cloud Environments

Qualifications
  • Academic background in STEM fields such as mathematics, engineering, physical sciences, or data science, evidenced by a PhD or MS in Quantum Computing.
  • Significant professional experience in Quantum Computing is preferred for candidates with an MS degree.
About Standard Chartered

We\'re an international bank, nimble enough to act, big enough for impact. For more than 170 years, we\'ve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you\'re looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can\'t wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you\'ll see how we value difference and advocate inclusion.

Together we:

  • 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
What we offer

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 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.

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.

Visit our careers website: www.sc.com/careers


#J-18808-Ljbffr

Related Jobs

View all jobs

AI Data Engineer

Data & Analytics Senior Data Engineer/BI Solution Designer Professional Hursley, GB

Legal Data Analytics Manager

Manager, Data Analytics (Digital Delivery)

Manager, Data Analytics (Digital Delivery)

Lead Data Scientist | Health

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.