At a Glance
- Tasks: Shape the future of banking with AI and machine learning solutions.
- Company: Join a leading bank focused on innovation and collaboration.
- Benefits: Competitive salary, diverse work environment, and career growth opportunities.
- Other info: Diverse and inclusive workplace valuing your unique talents.
- Why this job: Make a real impact on banking operations using cutting-edge technology.
- Qualifications: Master’s degree in a quantitative field and experience in machine learning.
The predicted salary is between 50000 - 70000 £ per year.
Join us to shape the future of banking through cutting‑edge AI and machine learning. You’ll collaborate with a dynamic team of data scientists, engineers, and product managers to create impactful products for our operations teams. This is your opportunity to work on unique financial datasets and deliver solutions that make a measurable difference. We value your curiosity and passion for both theory and hands‑on development. Discover career growth and the chance to influence how banking is done.
As an Applied AI & Machine Learning Associate supporting Markets Operations, you will design, develop, and deploy machine learning products that enhance our corporate and investment banking services. You’ll work closely with cross‑functional teams to deliver scalable solutions and drive operational transformation. Your contributions will directly impact how we serve clients and manage behind‑the‑scenes operations. We foster a collaborative environment where your ideas and expertise are valued.
Job Responsibilities
- Research and develop innovative machine learning solutions for complex operational challenges
- Build robust data science capabilities scalable across multiple business use cases
- Collaborate with software engineering teams to design and deploy machine learning services
- Analyze large financial datasets using statistical and machine learning techniques
- Communicate AI capabilities and results to technical and non‑technical audiences
- Document methodologies, techniques, and processes
- Write production‑ready code and ensure solutions are deployable at scale
- Develop products that transform corporate and investment banking operations
- Work in agile, cross‑functional teams to deliver impactful solutions
Required Qualifications, Capabilities, And Skills
- Master’s degree in a quantitative or computational discipline
- Hands‑on experience developing and deploying data science and machine learning capabilities in production
- Proficiency in Python development, debugging, and maintenance
- Experience with Natural Language Processing (NLP)
- Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and data science packages (e.g., Scikit‑Learn, NumPy, SciPy, Pandas, statsmodels)
- Ability to work independently and collaboratively
- Strong attention to detail and interest in analytical problem‑solving
- Results‑driven mindset with a client focus
- Ability to thrive in agile, cross‑functional teams
Preferred Qualifications, Capabilities, And Skills
- Ability to design model evaluations aligned with business goals
- Experience partnering with non‑specialists and building stakeholder trust
- Experience with inference, training, and deployment of Large Language Models
- Experience building generative AI solutions
- Experience developing scalable machine learning systems
- Familiarity with big‑data technologies such as Spark
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Applied AI & Machine Learning Associate – Markets Operations employer: NLP PEOPLE
Join a forward-thinking banking institution that prioritises innovation and collaboration in the realm of AI and machine learning. Our inclusive work culture fosters creativity and encourages professional growth, allowing you to make a tangible impact on our operations and client services. With access to unique financial datasets and a commitment to diversity, we offer an environment where your contributions are valued and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI & Machine Learning Associate – Markets Operations
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that relate to finance. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and shaping the future of banking with us.
We think you need these skills to ace Applied AI & Machine Learning Associate – Markets Operations
Some tips for your application 🫡
Show Your Passion for AI & Machine Learning:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see your curiosity and how it drives you to tackle complex problems in the banking sector.
Tailor Your Experience:Make sure to highlight your hands-on experience with data science and machine learning. We’re looking for specific examples of projects you've worked on, especially those that demonstrate your ability to develop scalable solutions.
Communicate Clearly:Remember, we value clear communication! Whether you're explaining technical concepts or your past experiences, make it easy for us to understand your thought process and how you can contribute to our team.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in shaping the future of banking.
How to prepare for a job interview at NLP PEOPLE
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the machine learning frameworks mentioned in the job description, like PyTorch and TensorFlow. Brush up on your knowledge of NLP and be ready to discuss how you've applied these skills in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex operational challenges using machine learning. Be ready to explain your thought process and the impact your solutions had on previous projects, especially in a financial context.
✨Communicate Clearly with Everyone
Since you'll be working with both technical and non-technical teams, practice explaining your ideas in simple terms. Think about how you can convey complex AI concepts to someone without a technical background, as this will be crucial in your role.
✨Emphasise Collaboration and Agility
Highlight your experience working in agile, cross-functional teams. Share specific instances where collaboration led to successful outcomes, and express your enthusiasm for contributing to a team-oriented environment.
