Job Description
Requisition ID: 225780
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”, “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.
As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the provision (credit loss estimation) models covering all of 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 including 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 forecasting 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.
Is this role right for you? In this role, you will:
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 global partners across the firm (who may be less technical than you and might not speak English)
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 understand what PDs, LGDs, EADS & attrition really are, from the ground up, and can model them precisely for any product
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
You are professional and motivated.
Sample projects that you might work on include:
Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting 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
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 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 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
Strong fundamental understanding of statistics
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
Nice to Have's:
Proficient reading, writing and speaking Spanish
Experience with credit risk forecasting and/or financial reporting frameworks
Experience developing credit risk models / scorecards
Experience working within loss forecasting, provisioning, IFRS + or CECL frameworks
Domain expertise with any retail & small business banking products and/or risk management practices
FRM, CFA credentials
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?
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.
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”, “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.
As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the provision (credit loss estimation) models covering all of 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 including 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 forecasting 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.
Is this role right for you? In this role, you will:
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 global partners across the firm (who may be less technical than you and might not speak English)
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 understand what PDs, LGDs, EADS & attrition really are, from the ground up, and can model them precisely for any product
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
You are professional and motivated.
Sample projects that you might work on include:
Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting 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
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 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 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
Strong fundamental understanding of statistics
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
Nice to Have's:
Proficient reading, writing and speaking Spanish
Experience with credit risk forecasting and/or financial reporting frameworks
Experience developing credit risk models / scorecards
Experience working within loss forecasting, provisioning, IFRS + or CECL frameworks
Domain expertise with any retail & small business banking products and/or risk management practices
FRM, CFA credentials
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?
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.
💡 Quick Summary
Seeking a career-building opportunity? The Manager, Forecasting Models - Enterprise Stress Testing position is now open for candidates interested in the Bank Jobs sector. This role in Toronto offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
