Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

What We Are Looking For?

We want talented, pragmatic analytically oriented 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(great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

To be a Senior Manager in Retail and Small Business Models, Analytics & Strategy, it isn’t enough to just be a great model developer(though that is incredibly important as well); you also need to be an aspiring leader who dreams about ownership and accountability (i.e., “the buck stops here”), a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

Make an Impact

As a Senior Manager, you will report directly to a director, likely with 1-3 direct reports of your own, and you will be a critical member of a team overseeing a portfolio of 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 in Canada and Internationally. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners which may include Retail Credit Risk and Business, Capital, Provisioning, Model Operations, Enterprise Stress Testing, 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 Jupiter 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 models that will be used to make decisions worth $millions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure, and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

Is This Role Right for You?

• You believe, first and foremost, in always doing the right thing and doing things the right way.
• You are both deeply curious and highly pragmatic.
• You are comfortable with ambitious but realistic goals and are committed to achieving them.
• You are social, engaging, not afraid to ask questions and relish the opportunity to learn from partners across the firm (who may be less technical than you)
• You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements or decisions that impacts a real human being.
• You have a genuine love, passion and talent for programming, data, and predictive modeling.
• You are committed to quality in everything you do – statistically, process and governance wise.
• You look forward to sharing your insights through high-quality verbal & written communications.

Sample projects that you might work on include:

• 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.

What Do You Need to Succeed?

General

• Bachelor’s 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 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.

Technical

• 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 one 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

Nice to Have's

• Proficient reading, writing, and speaking Spanish.
• Experience developing credit risk models / scorecards.
• Experience training and deploying machine learning models using common Python open-source 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)

What’s in It for You?

• We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
• You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders.
• Access to thousands of online and in person courses so you can brush up on skills or learn new ones.
• Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole.
• A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!