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Employer: Techouts

Expires: 10/30/2021

Role : Data Scientist :Responsibilities:Developing and deploying quantitative models, AI/ML models, and analytic solutions to support Commercial Banking key initiativesPartner closely with the CB businesses, data, and the Technology teams and brings a cross-functional approach to identifying, developing and deploying quantitative models and solutionsThe 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 environmentDesign, develop, deploy, and maintain quantitative models, AI/ML models, and analytic solutions to support Commercial Banking key initiativesPerform exploratory data analysis to collect, organize, interpret, and prepare for model development and deliver actionable business insightsLeverage 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 timelinesCollaborate with Tech, Data, and LOBs to deploy quantitative and AI/ML modelsEnsure models and solutions are aligned with business objectives and value drivenAdhere 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 validationEnsure 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 timelinesRequirements:2+ years of experience in an advanced scientific or mathematical fieldA master’s degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science5+ years of quantitative modelling experience2+ years of Python experience2+ years of SQL experienceQualifications:Strong machine learning and statistical modelling techniques using open-source languages like Python, PySpark, PyTorchProficient with SQL, Big data Hadoop, NoSQLHands 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 needsExperience with active learning and reinforcement learningExperience with AI model transparency and explain ability studiesCommercial Banking predictive analysis experienceStrong quantitative/statistical modelling skills with documentation and model validation experiencesStrong 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 developedHands-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