Requisition ID: 103061Join 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!
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 $billions safe every single day.
What you’ll do in this role?
As the Director, you will report directly to the VP of Risk Models and Analytics and be a critical member of the global leadership team. You will be accountable for from conception through execution and governance the capital estimation and forecasting models covering The Banks retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Capital Management, Provisioning, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit
Your team 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 your guidance, your team of risk modeling experts will use these tools to develop and run advanced risk prediction and forecasting models that will be used to help manage tens of $billions of capital and exposures, every day and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for setting priorities, leading by example, getting deep-in-the-weeds, coaching, mentoring and ultimately, delivering results.
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 know when to be doer, when to be a teacher and when to be a leader
You are comfortable setting ambitious but realistic goals and are committed to achieving them
You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
You understand what PDs, LGDs and EADS really are, from the ground up, and can model them precisely for any product (while knowing how to statistically account for sources of uncertainty)
You have a genuine love, passion and talent for programming, data, and predictive modeling
You are comfortable initiating conversations and collaborating with diverse personalities both internally (colleagues across the business) and externally (vendors)
You are committed to quality in everything you do statistically, process and governance wise
You can evaluate situations, derive insights, synthesize results and communicate high-quality recommendations effectively, both verbally, and in writing
You are professional, motivated AND FUN. We mean it.
Do you have the skills that will enable you to succeed in this role?
We want talented pragmatic analytically oriented leaders who are equally at home amongst neural networks as they are translating complex issues into concise communications and directions. We want data scientists who come armed with not only strong statistical, programming and data engineering skills but also 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 Director in Retail Models & Analytics, it isnt enough to just be a great model developer (though that is incredibly important as well); you have to want to be an owner who embraces both the accountability (i.e., the buck stops here) and responsibilities that come with ownership. 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 you own will all be equally important. The types of Directors we are looking for are player-coaches (an interest in teaching & mentoring is essential!) who relish the idea of running their own model factory and everything that comes with it.
General
Bachelors Degree in Mathematics, Physics, Engineering, or an equivalent technical field
A demonstrated history of analytic problem solving and sound judgment
Experience as both a manager and leader with a track record of accomplishments overseeing cross-functional teams
Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into actionable analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit regulatory-quality documentation and be accepted as a trusted advisor by senior executives
Excellent project, process & time management
Able to work remotely and on-site on multiple projects simultaneously and meet deadlines
Technical
Strong fundamental understanding of statistics
Highly proficient in 2+ analytical programming languages (SAS, Python, R, etc.), SQL (Teradata, Oracle, DB2, SQL Server), and multiple environments (Unix & Windows)
2+ years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
Nice to Have’s
Proficient reading, writing and speaking Spanish
MBA or other business / management degree
FRM, CFA credentials
Extensive knowledge in forecasting / risk models / scorecards, best practices and governance
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, Project) power user
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 compensation and benefits package
This position is located downtown, Toronto
Location(s): Canada : Ontario : Toronto Scotiabank is a leading bank in the Americas. 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. At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. 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. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.