Senior Manager, Model Development

2 weeks ago

Toronto, Ontario, Canada Scotiabank Full time
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Title:
Senior Manager, Model Development - Retail & Small Business - Contract

Big data", "machine learning" and "AI" are not just buzzwords; 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 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.

To be a Senior Manager in Retail Models & Analytics, it isn't enough to just be a great model developer (though that is incredibly important as well); 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.

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 forecasting and 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 models that will be used to make decisions worth $billions 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.

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 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
Prepare attribution and/or stock-flow analysis of product portfolios
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
Bachelor's Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
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

Technical:

2+ 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
Proficient reading, writing and speaking Spanish
Experience with credit risk forecasting and/or financial reporting frameworks
Experience working within regulatory capital, loss forecasting, provisioning, IFRS 9 or CECL frameworks
Domain expertise with any retails and small business banking productsand/or risk management practices
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
Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
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

Guided by our purpose:
"for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know.

If you require technical assistance, please click here . Candidates must apply directly online to be considered for this role.

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