Data Scientist
Role : Data Scientist :
Responsibilities:
- Developing and deploying quantitative models, AI/ML models, and analytic solutions to support Commercial Banking key initiatives
- Partner closely with the CB businesses, data, and the Technology teams and brings a cross-functional approach to identifying, developing and deploying quantitative models and solutions
- The position requires high-skill/ high-motivation individuals who enjoy working collaboratively in a team setting, used to taking decisions autonomously and comfortable with a dynamic work environment
- Design, develop, deploy, and maintain quantitative models, AI/ML models, and analytic solutions to support Commercial Banking key initiatives
- Perform exploratory data analysis to collect, organize, interpret, and prepare for model development and deliver actionable business insights
- Leverage CB data covering customer, employees, as well as business operating data build quantitative and AI/ML models using open stack languages (mainly Python/PySpark/PyTorch)
- Collaborate with LOB organizations to frame the problem, explore various modelling methodologies and tools to deliver business solutions according to timelines
- Collaborate with Tech, Data, and LOBs to deploy quantitative and AI/ML models
- Ensure models and solutions are aligned with business objectives and value driven
- Adhere to and contribute to the Model Development Life Cycle that focuses on generating standardized processes, repeatable modules, and required artifacts to scale up model development, model review, and validation
- Ensure the modelling processes and procedures meet corporate model risk policy and requirements; Responsible for producing model development documents with high rigor to pass model validation standards and remediating model risk findings according to timelines
Requirements:
- 2+ years of experience in an advanced scientific or mathematical field
- A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
- 5+ years of quantitative modelling experience
- 2+ years of Python experience
- 2+ years of SQL experience
Qualifications:
- Strong machine learning and statistical modelling techniques using open-source languages like Python, PySpark, PyTorch
- Proficient with SQL, Big data Hadoop, NoSQL
- Hands on experience writing data processing and data pipeline for model development including gathering and building datasets to collect intents, cleaning messy data, designing feedback loop on data needs
- Experience with active learning and reinforcement learning
- Experience with AI model transparency and explain ability studies
- Commercial Banking predictive analysis experience
- Strong quantitative/statistical modelling skills with documentation and model validation experiences
- Strong analytical and quantitative problem-solving skills, excellent oral and written communication skills, and possess a results-driven attitude committed to the highest quality work.
- Demonstrated ability to work across organizational boundaries and well developed
- Hands-on experience with statistical model development/validation, utilizing best modelling practices and methodologies in the areas of data processing, sampling, model design/specification, model performance assessment, and model monitoring