Data Scientist - Corporate Audit, Officer
Toronto, Ontario
State Street
State Street provides investment servicing, investment management, investment research and trading services to institutional investors worldwide.Who we are looking for
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 ideal candidate will design and develop multiple solutions within the Data Analytics & 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 across 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, automation and visualizations.
In this role you will be based out of Toronto, Canada.
Why this role is important to us?
The team you will be joining plays an important role in the overall success of the organization. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability; regulators rely upon us to provide assurance that the bank operates in a manner that is compliant with key banking regulations to properly manage risks to the company and the global financial systems. To make that happen we need teams like yours to help navigate employees and the organization as a whole. In your role, you will help us build resilience and execute day to day deliverables at our best. Join us if making your mark in the financial services industry from day one is a challenge you are up for.
As a Corporate Audit - Data Scientist, Officer you will:
Within Corporate Audit, our Data Analytics and Innovation Team works collaboratively with our stakeholders to manage project delivery and lead teams of data analytics resources in all aspects of design and delivery of innovative solutions. Data Analytics team is integrated into the audit function and assists in leveraging data as an asset throughout the audit lifecycle.
- Collaborate with multiple stakeholders to identify automation and 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 interface, build new data pipelines and create/utilize ML,NLP,AI 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.
What we value
- Exposure to artificial intelligence and automation techniques such as Natural Language Processing, Machine Learning and RPA is required;
- Experience with cloud based analytic platforms such as AWS, Databricks, 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.
Education & Preferred Qualifications
- Bachelor’s degree or higher in Information Systems, Information Technology, Data Science or a related field is required;
- 3+ 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;
- Relevant work experience at a financial services company and/or experience working in Risk/Control function is a plus;
- Experience with Power Apps is a plus.
- Experience with visualization tools such as Tableau, PowerBI, etc is a plus.
Are you the right candidate? Yes!
We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.
About State Street
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.
State Street is an equal opportunity and affirmative action employer.
Discover more at StateStreet.com/careers
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Banking Data analysis Data Analytics Databricks Data pipelines Engineering Machine Learning NLP Pipelines Power BI Python Research Robotics RPA Snowflake SQL Tableau
Perks/benefits: Career development Flex hours Health care
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