At a Glance
- Tasks: Lead AI and machine learning projects to innovate financial services.
- Company: Join Standard Chartered, a global bank making a positive impact for over 170 years.
- Benefits: Enjoy flexible working, competitive salary, and extensive wellbeing support.
- Why this job: Be part of a diverse team driving change in finance with cutting-edge technology.
- Qualifications: Bachelor’s or Master’s in relevant fields; experience in banking is a plus.
- Other info: Opportunity to work on AI solutions that shape the future of banking.
The predicted salary is between 43200 - 72000 £ per year.
Associate Director, Data Science and Innovation
Are you a data science leader passionate about leveraging AI and machine learning to drive innovation in financial markets and transaction banking? Standard Chartered Bank is on an ambitious journey to embed cutting-edge AI solutions into all aspects of our Corporate and Investment Banking (CIB) business. We are looking for a senior data scientist with expertise in both classical machine learning and the latest advancements in Large Language Models (LLMs) to help shape the future of financial services.
Responsibilities
- Collaborate with product owners and business stakeholders to identify pain points, define use cases, and translate business needs into AI/ML solutions.
- Develop, test, and optimize AI models, ensuring they align with business goals and regulatory requirements.
- Work closely with MLOps engineers and the wider Tech and Data teams to deploy production-ready solutions.
- Stay ahead of industry trends, particularly in Data Science, NLP, and GenAi advancements, and share insights across the team.
- Ensure data quality and governance standards are maintained across all AI and analytics projects.
- Support risk and audit management for AI applications, identifying potential risks and ensuring compliance with regulatory frameworks.
Skills and Qualifications
Skills & Expertise
- Strong experience in machine learning, deep learning, and statistical analysis.
- Expertise in Python, with proficiency in ML and NLP libraries such as Scikit-learn, TensorFlow, Faiss, LangChain, Transformers and PyTorch.
- Experience with big data tools such as Hadoop, Spark, and Hive.
- Familiarity with CI/CD and MLOps frameworks for building end-to-end ML pipelines.
- Proven ability to lead and deliver data science projects in an agile environment.
- Excellent stakeholder management and communication skills to bridge the gap between technical and non-technical teams.
- Self-driven, innovative, and highly motivated professional with a passion for delivering high-quality AI solutions.
- Familiarity with LLM model inference solutions and related architectures.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, Data Science, or a related field.
- Experience in banking, finance, risk, or fraud detection is a plus.
- A track record of leading AI-driven transformation projects in financial services is highly desirable.
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.
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.
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Associate Director, Data Science and Innovation (London) employer: Standard Chartered Life and Careers
Contact Detail:
Standard Chartered Life and Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Director, Data Science and Innovation (London)
✨Tip Number 1
Network with professionals in the data science and financial sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in AI and machine learning relevant to banking.
✨Tip Number 2
Showcase your expertise in machine learning and AI by contributing to open-source projects or writing articles on platforms like Medium. This not only demonstrates your knowledge but also helps you build a personal brand in the data science community.
✨Tip Number 3
Prepare for interviews by familiarising yourself with Standard Chartered's recent initiatives in AI and machine learning. Understanding their specific challenges and goals will allow you to tailor your responses and demonstrate how you can add value to their team.
✨Tip Number 4
Engage with the company on social media platforms like LinkedIn. Follow Standard Chartered, comment on their posts, and share relevant content to increase your visibility and show your genuine interest in their work and culture.
We think you need these skills to ace Associate Director, Data Science and Innovation (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly with AI and machine learning. Emphasise your expertise in Python and relevant libraries, as well as any experience you have in financial services.
Craft a Compelling Cover Letter: In your cover letter, express your passion for leveraging AI in financial markets. Discuss specific projects where you've successfully implemented machine learning solutions and how they align with the responsibilities outlined in the job description.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects or case studies. Highlight your role, the technologies used, and the impact of these projects on business outcomes, especially in an agile environment.
Highlight Stakeholder Management Skills: Since excellent communication and stakeholder management skills are crucial for this role, provide examples of how you've effectively collaborated with both technical and non-technical teams in previous positions.
How to prepare for a job interview at Standard Chartered Life and Careers
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning, deep learning, and statistical analysis. Highlight specific projects where you've used Python and relevant libraries like Scikit-learn or TensorFlow, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Familiarise yourself with the financial services industry and the specific challenges faced by Standard Chartered Bank. Be ready to discuss how your AI/ML solutions can address these pain points and align with their business goals.
✨Demonstrate Stakeholder Management Skills
Prepare examples of how you've successfully collaborated with both technical and non-technical teams. Effective communication is key, so be ready to explain complex concepts in a way that stakeholders can easily understand.
✨Stay Updated on Industry Trends
Research the latest advancements in Data Science, NLP, and GenAI. Being able to discuss current trends and how they can be applied within the bank will show your passion for innovation and your commitment to staying ahead in the field.