Corporate Audit - Full Stack Data Scientist, AVP

State Street•Toronto, ON

1d•$91,000 - $140,500•Hybrid

About The Position

The Corporate Audit Data Analytics and Innovation Team is vital to Corporate Audit and is the key enabler for our business to deliver data and risk and assurance insights to the Audit Department and Audit Stakeholders. We’re driving Corporate Audit’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence, robotics process automation, and visualizations. We are looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation Corporate Audit function. The AVP, Full Stack Data Scientist is a hands-on role that will design and develop multiple solutions within the Data Analytics & Innovation Team’s Center of Innovation. The candidate will utilize prior work experience in both the business and technical domains to provide dynamic assurance solutions. On a day-to-day basis, the job may entail working as a team to architect data-oriented solutions, enhancements to our reporting solutions, build sustainable operating model and/or interacting with our business partners to prioritize, gather requirements on future initiatives and deliver impactful data science/AI solutions. The individual will be required to have a proven track record of delivery of technically advanced solutions in support of multiple, simultaneous initiatives that span multiple disciplines and business lines. This individual should have the ability to quickly get a solid understanding of existing and future State Street business, application and infrastructure environment and be able to investigate and apply new methods of data analysis and visualizations.

Requirements

Bachelor’s degree or higher in Math, Information Systems, Information Technology, Computer/Data Science or a related field is required;
10 + years of experience with advanced Python(ML,NLP,AI) and SQL is required;
Experience and ability to integrate data with database environment is required and 2+ years hands on with front-end technologies is required;
Exposure to Generative/Agentic Artificial Intelligence, Automation techniques, Natural Language Processing, Document Intelligence, Machine Learning is required;
Experience with cloud based analytic platforms such as Databricks, AWS, Azure, Snowflake is required;
Strong demonstrated skills in UI technologies, data science and data engineering;
Strong curious, analytical mindset, project management skills, ability to influence cross-functionally in a rapidly evolving business environment while managing multiple / concurrent projects;
Advanced command of English; strong written and verbal communication, presentation and technical writing skills.

Nice To Haves

Relevant work experience at a financial services company and/or experience working in Risk/Control function is a plus;
Experience with HTML, React, or visualization tools such as Tableau, PowerBI, etc is a plus.

Responsibilities

Collaborate with multiple stakeholders to identify advanced analytics opportunities for Corporate Audit department and deliver impactful, innovative data products;
Work on Proof-of-Concept, design and develop tools/applications to support the assurance and automation objectives of the audit department;
Design interactive and user centric front-end interfaces, build new data pipelines and create/utilize ML/GenAI models. Provide scalable solutions that work with large datasets without impacting performance;
Develop, implement and document IT/model governance framework, procedures, aligned with industry wide best practices and bank wide policies/standards.
Act as a liaison between the Corporate Audit team and other departments, fostering collaboration and knowledge sharing related to advanced analytics, automation, and other innovation initiatives.