Manager, Data Scientist

Scotiabank; Toronto; On-site; CAD 150,000 - 200,000; Full time

Job summary

A leading financial institution in Toronto is looking for a Manager in Retail Models & Analytics to oversee forecasting and decision-making models. This role requires collaboration with various stakeholders to ensure the effectiveness and compliance of models that impact billions in decisions. The ideal candidate will have experience in data science, strong statistical skills, and the ability to work with advanced analytics tools. Join a team committed to delivering high-quality results and making an impact in the financial sector.

Qualifications

• Excellent model developer and a collaborative team player.
• Ability to listen actively to stakeholders and customers.
• Deep understanding of statistical methods and data manipulation.

Responsibilities

• Oversee a portfolio of forecasting or decisioning models.
• Collaborate with internal partners across multiple departments.
• Ensure models are precise, accurate, and compliant.

Skills

Data interpretation

Statistical application

Collaboration

Model governance

Analytical insights

Education

Experience in data science or analytics

Tools

SAS

Jupyter

Hadoop

Containerized API deployment

Business intelligence tools

Job description

Overview

Requisition ID: 235871

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The world is changing faster than ever and so are we. 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 $billions safe every single day.

We want talented pragmatically minded data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything, a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer; you also need to be a collaborative team player who actively listens to stakeholders and customers and is passionate about helping them win. You will work with internal customers across the bank to understand and translate their needs into outcomes, explore both novel and legacy data sets and methodologies, collaborate with technology partners to implement solutions, and monitor, tune and govern the models that your team owns.

We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

Make an Impact

As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting or decisioning models and analytic processes. You will support – from conception through execution and governance – models covering the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners which may include Capital, Provisioning, Model Operations, Enterprise Stress Testing, Product, Model Validation and Governance, Technology & Data, Finance, Compliance and Audit.

You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth billions of dollars every month; they need to be precise, accurate, stable, explainable, compliant, secure and useful. You will be responsible for understanding goals and priorities, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.