Manager, Model Monitoring, Data & Analytics

Scotiabank•Toronto, ON

4d•Onsite

About The Position

As a Manager, International Capital Models Analytics & Reporting, you will report to a Senior Manager and be a critical member of the Retail & Small Business Models and Analytics team. You will help manage reporting capabilities, data assets and analytical processes that support credit risk models, Basel III parameters, regulatory capital reporting and model performance oversight. You will work closely with model developers, technology partners, governance, audit and business stakeholders to ensure that data is reliable, reporting is accurate and model outputs are transparent, controlled and actionable. You will use a mix of traditional and modern data tools, including SQL, Python, Excel, Power BI, cloud platforms such as Google Cloud and Microsoft Azure, and large-scale data environments such as Hadoop. Your work will require strong hands-on data management skills, sound analytical judgment and the ability to convert complex model, risk and regulatory requirements into clear reporting solutions and practical recommendations. You will be responsible for supporting a proactive risk data management environment by identifying data issues, improving reporting processes, strengthening controls and helping the team meet evolving expectations under RDARR, Basel III, OSFI's E-23 guideline and internal model governance standards. The role requires someone who can manage multiple priorities, deliver quickly under pressure and communicate effectively with technical and non-technical partners.

Requirements

University degree in Computer Science, Statistics, Engineering, Operations Research, Mathematics or a related technical field
At least five years of relevant experience in a similar analytical, data management, reporting or credit risk role
Proven ability to work with teams in a professional, collaborative and productive manner
Excellent interpersonal, relationship-building and communication skills, both written and verbal
Strong time management, planning and organizing skills with the ability to manage multiple priorities and deliver quickly under pressure
Efficient, flexible and comfortable working through tight deadlines, changing requirements and conflicting priorities
Able to recognize data problems and issues, take ownership and recommend practical actions and solutions
Strong technical and analytical skills, including data management, programming and reporting development
Hands-on experience using SQL, Python or a related programming language
Experience manipulating, reconciling and analyzing data using SQL, Python and Excel
Expertise with Power BI is required
Expert knowledge of risk data management best practices
Working knowledge of Risk Data Aggregation and Risk Reporting, RDARR, and the Basel III framework
Working knowledge of PD, LGD, EAD and RWA requirements and corresponding analytics and reporting
Strong knowledge of the model development lifecycle and OSFI's E-23 guideline
Strong knowledge of bank products, credit lending and risk reporting in a large financial institution environment
Strong project management and change management skills

Nice To Haves

Two to three years of experience with Google Cloud and Microsoft Azure
Experience working with Hadoop ecosystem technologies or other large-scale data platforms
Experience working in a large financial institution
Experience supporting credit risk model monitoring, validation, implementation or regulatory reporting processes
Domain expertise in retail and small business banking products, credit lending or risk management practices
Microsoft Office power user with strong Excel, Word, PowerPoint, Teams and Power BI skills

Responsibilities

Manage reporting capabilities, data assets and analytical processes that support credit risk models, Basel III parameters, regulatory capital reporting and model performance oversight.
Work closely with model developers, technology partners, governance, audit and business stakeholders to ensure that data is reliable, reporting is accurate and model outputs are transparent, controlled and actionable.
Support a proactive risk data management environment by identifying data issues, improving reporting processes, strengthening controls and helping the team meet evolving expectations under RDARR, Basel III, OSFI's E-23 guideline and internal model governance standards.
Manage multiple priorities, deliver quickly under pressure and communicate effectively with technical and non-technical partners.
Translate regulatory and governance requirements into data, reporting and control expectations.
Manage competing priorities, adapt to change and deliver quality work under tight deadlines.
Communicate clearly in writing and verbally and explain complex data or model issues in a concise, business-friendly way.