Job Description

Requisition ID: 230011



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!

"Big data" fed by "complex processes" representing "massive stakes" are not just buzzwords to us; they are a genuine reflection of our daily life. Our goal is to be nothing less than The Leading Bank in The Americas that puts Customers First. Achieving this will require us to assemble and retain a Winning Team that can both design and run highly-predictive decisioning and forecasting models that accurately reflect reality. To put things in perspective, our models underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of billions of dollars safe, every single day. We are fortunate to have a world-class team of Data Scientists and Model Operations personnel building and deploying incredible risk models. But they need your help.

Our Regulatory Capital Model Development team is responsible for ensuring that every part of the model lifecycle, from planning to data selection, development to implementation, deployment to monitoring undergoes rigorous analysis and as well documented, controlled, effective and efficient, as possible. Getting models to market quickly is important but getting them "right" is even more so. That is where you come in:
You are capable of poking around "under the hood", asking questions ad-nauseam (in a polite and collaborative way), mapping real world processes to technical logic, data flows and sources and accurately spec'ing out how our modeling and technology teams should use what you discovered.

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.

Is this role right for you? In this role, you will:

You will work, day-to-day under the direction of the Regulatory Capital team, leveraging your analytic thinking and approach to support Regulatory Capital Modeling initiatives: Plan and manage initiatives, Map and / or re-engineer key processes, data flows and / or business rules Translate concepts into algorithms and architect implementation solutions in accordance with business needs, and internal / regulatory policies and guidelines. Business, implementation and project plans that get executed to completion Business rules, financial formulae and algorithms Newly generated and retrofitted automated reporting Improved operational efficiency and effectiveness Quantitative analysis to support ongoing decision-making Recommendations of what else "we should look into / fix" next

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

General

Bachelor's Degree in Engineering, Information Sciences, Business / Commerce, Finance, or equivalent field A demonstrated history of problem solving, technology implementation and sound judgement Fluent English-language verbal and written communications: the ability to distill complex and ambiguous operational processes, business requirements / rules and data sets into process flows and analysis, concisely convey technical requirements and requests, prepare and edit high-quality documentation, and be accepted as a trusted advisor by peers Experience as a Management Consultant, Business Analyst, Process Engineer, Financial Analyst or Data Analyst with a track record of accomplishments working on cross-functional teams Able to work remotely and on-site on multiple activities simultaneously and meet deadlines

Technical

Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping and financial analysis 3-5 years of overall experience in consulting, business analysis or process engineering roles translating complex human processes to mathematical algorithms Highly proficient with business productivity (ex., Visio, MS Project, JIRA, Teams, Lists), data governance / lineage (ex. Informatica, Collibra) and data management (SQL, Excel, PowerBI) tools Refined ability to translate data extraction, transformation and analysis into queries / code (SQL)

Nice-to-have's:

General

Proficient reading, writing and speaking Spanish Domain expertise with retail & small business banking products and / or risk management practices Familiarity with credit risk models / scorecards Lean, Six Sigma, TQM or other process management frameworks and/or expertise

Technical

An understanding of statistical prediction, estimation and forecasting models Programming experience (Python, SAS) with both legacy / traditional (RDBMS) and big data (Hadoop / Hive / Spark) systems An appreciation for advanced statistical approaches used to assess and address uncertainty

What's in it for you?

An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success! We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one! Your career matters! You will have access to career development and progression opportunities.


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. 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.