Data Science Manager - Toronto, Canada - Scotiabank

Scotiabank

Verified Company

Toronto, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Requisition ID: 174574

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

The Internal Ratings Management unit in Global Risk Management is responsible for credit risk modelling for Bank's Business Banking portfolio.

It includes but not limit to developing borrower risk rating models and managing the risk rating system for all Business Banking customers, conducting the estimation of credit risk parameters for the regulatory capital purpose and providing guidelines of how to use the risk rating models and risk parameters to business partners.

The bank's goal is to be _The Leading Bank in The Americas_ by putting _Customers First._ As an important function in the Global Risk Management of the bank, in order to contribute to achieving this goal, we need to build a _Winning Team_ that can manage and govern stable high-performing models and provide our business partners with the best analytic insights and advices.

The models that we build underpin risk-management decisions that impact business banking customers and keep hundreds of $billions safe every single day.

What you'll do in this role?

As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing credit risk estimation models, and related internal and regulatory processes.

You will support - from conception through execution and governance - the credit risk estimation models covering the Bank's AIRB Business Banking portfolio.

You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Validation and Governance, Finance, Business Lines Partners, Compliance and Audit.

You will have access to a modern machine learning stack that includes open source development environments, 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 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.

Sample projects that you might work on include:

Develop, implement and maintain risk quantification methodologies for Business Banking credit risk models such as CECL.
Perform research and analysis of applicable methodologies; present and recommend appropriate alternatives; test and implement modelling methodologies.
Benchmark internal results with external models or data sources; provide analysis and recommend actions as appropriate.
Communicate results of analyses through documentation to internal/external audiences, and effectively manage the interface with relevant parties such as Validation, Audit, and Regulators.

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 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 global partners across the firm
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
You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
You have a genuine love, passion and talent for programming, data, and modeling
You are committed to quality in everything you do statistically, process and governance wise
You look forward to sharing your insights through highquality verbal & written communications

Skills, Experiences and Functional Competencies:

Excellent computing development skills, particularly statistical and database modeling tools (i.e., SQL, Python, SAS, R, etc.); welldeveloped ability to adapt to various programming languages and environments.
1 year of handson experience in quantitative analysis and machine learning; exposure to quantitative analysis related to credit risk management and modeling is preferred.
Indepth understanding of statistical techniques and procedures related to analysis of various distributions, regression modeling and bootstrapping techniques.
Welldeveloped writing and presentation skills, including competence in comprehensively and concisely reporting and presenting the results of complex analyses.
Ability to efficiently manage multiple priorities to ensure timely delivery.
Attention to details, independence, and ability to effectively collaborate in teamwork.
Flexibility and c