About the role
As a member of the CIB Applied AI/ML for Operations team, you will have the unique opportunity to be a critical player in our firm-wide efforts to shape the future of banking. Crucial to this is helping to transform Operations teams, where you will have a direct impact on the behind-the-scenes management and functioning of the bank's corporate and investment banking services.
Finance background is not a must-have. If you get as excited about machine learning theory as you get about Python development, we’d love to speak with you.
In this role, you will:
- Interact with very large datasets in the financial domain currently not available anywhere else
- Write production-ready code and work with tech teams to ensure your machine learning solution is deployable at scale across multiple lines of business
- Develop products that can change how corporate and investment banking is done today
Responsibilities
- Research and develop innovative ML based solutions to some of Operations' hardest problems
- Build robust Data Science capabilities which can be scalable across multiple business use cases
- Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems
- Research and analyse data sets using a variety of statistical and machine learning techniques
- Communicate AI capabilities and results to both technical and non-technical audiences
- Document approaches taken, techniques used and processes followed
Required Technical Qualifications And Experience
- Masters degree in a quantitative or computational discipline
- Commercial experience developing and deploying Data Science and ML capabilities in production at scale
- Strong Python development and debugging skills
- Experience with Natural Language Processing (NLP)
- Experience with machine learning frameworks (pytorch, tensorflow) and data science packages (examples: Scikit-Learn, NumPy, SciPy, Pandas, statsmodels)
- Ability to to work both individually and in collaboration with others
- Curiosity, attention to detail and interest in complex analytical problems
- Results-driven mindset and client focus
- Ability to work in agile cross-functional teams
Nice to Have
- Ability to design intrinsic and extrinsic evaluations of a model's performance which are aligned with business goals
- Ability to work with non-specialists in a partnership model, conveying information clearly and creates a sense of trust with stakeholders
- Experience with inference, training and deployment of Large Language Models
- Experience with big-data technologies such as Spark