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Form of workThe Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries.
As a Trust & Safety employee within the Payments Organization, you will be involved in developing Machine Learning models and solutions in the business domains of Fraud Prevention (for both Card and ACH/ Wire channels), Sanctions, Onboarding Risk and other similar problems. You will experiment with various relevant AI & ML algorithms and techniques to build best in class solutions.
Job Responsibilities
- Lead a team of scientists focused on a business problem in the trust & Safety domain
- Collaborate with business, operations and other technology colleagues to understand company needs and devise technical solutions
- Develop the roadmap of projects while partnering with various stakeholders for product delivery
- Research and analyze data sets using a variety of statistical and Machine Learning techniques
- Develop solutions and work with partner teams to implement the solutions in production
- Communicate results and ideas to key decision makers
- Hiring and Developing of the team and provide mentoring and coaching
Required Qualifications, Capabilities and Skills:
MS in a ML/ Data Science or related discipline, e.g. Computer Science, Applied Mathematics, Statistics, Physics, Artificial Intelligence
Advanced data mining and EDA (Exploratory Data Analysis) skills, understanding of various data structures and data transformation
Knowledge and expertise in Graph ML like Label Propagation, GNN, GCN, Reinforcement Learning apart from understanding supervised & unsupervised learning
. Expertise in ML in areas of supervised and unsupervised learning. Experience working with imbalanced data.
. Strong ability to develop and debug in Python (must) and Java (would be a plus)
3+ years experience with Machine Learning APIs and computational packages (examples: TensorFlow, LightGBM, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, H2O, SHAP, Catboost)
5 + years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc
Other experience and qualifications
Ability to design or evaluate intrinsic and extrinsic metrics of your model's performance which are aligned with business goals
Ability to independently research and propose alternatives with some guidance as to problem relevance
Experience with consumer finance products or domains like working capital, fraud prevention etc.
The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.
