Senior Manager, Decisioning Models - Retail & Small Business Model Development

Scotiabank•Toronto, ON

4d•Hybrid

About The Position

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. We are committed to investing in our employees and helping you continue your career at Scotiabank. The world is changing faster than ever and so are we! “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality. Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage, and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $millions safe every single day.

Requirements

Graduate degree in mathematics, Computer Science, Engineering, or an equivalent technical field
A demonstrated history of analytic problem solving and sound judgment.
Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams.
Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers.
Able to work remotely and on-site on multiple activities simultaneously and meet deadlines.
Strong fundamental understanding of statistics
3+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models.
Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
Knowledge about credit risk models / scorecards
Experience developing credit risk models / scorecards.
Experience training and deploying machine learning models using common Python opensource frameworks (i.e., scikit-learn) and/or Python DevOps
Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)

Responsibilities

Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting and decisioning models.
Collaborate with risk management, vendors, technology, foreign counterparts, and compliance +audit to ensure effective governance, measurement & communication of model performance.
Conduct research of new innovative modeling methodologies, tools, and regulatory requirements.
Lead the periodic monitoring, recalibration and maintenance of models and analytic tools.
Identify, promote, and lead process improvements for model development and monitoring.
Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards