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Senior Analyst, Credit Risk Modelling & Analytics At BMO Financial Group

Location: Toronto, Ontario

Job Description

Under the direction of the Senior Manager of Credit Risk Modelling & Analytics, this role is accountable for documentation, change management tracking, statistical model development and validation, and risk rating analysis to support Basel credit risk management activities . The Senior Analyst provides analytical expertise to support the development, validation, monitoring, reporting and documentation of Basel risk rating systems. The role is also accountable for creating datasets for model development, building new models, validating existing models, running statistical tests, creating segmentation files and documenting all activities.
KEY ACCOUNTABILITIES
1. Credit Risk Management
  • Responsible for the development of BMO and/or Harris datasets for credit risk analysis purposes
  • Responsible for the development and validation of predictive models and decision trees
  • Responsible for the monitoring, analysis and reporting of credit portfolios including probablility of default, loss given default and exposure at default
  • Responsible for detailed documentation corresponding to statistical analysis and results
  • Responsible for change management activities including the creation and management of change logs
  • Responsible for the development, timely delivery, and monitoring of Capital at Risk annual plan information
  • Responsible for the development and delivery of segmentation files to other areas of the bank
2. Specialized Model Development
  • Responsible for specialized support for the development, scoring and implementation of credit risk models for BMO and/or Harris portfolios
  • Responsible for specialized support for the development of predictive models and decision trees to predict PD, LGD and EAD
  • Responsible for the development, documentation, and validation of models to support credit risk strategies and key compliance activities
  • Responsible for the analysis, validation and monitoring of model performance
3. Project Management and Mentoring
  • Responsible for managing larger scale projects with broader strategic implications
  • Responsible for mentoring analysts and interns in order to deliver on projects
  • Responsible for creating detailed documentation and change logs to manage changes for regulatory purposes
AUTHORITIES:
To deliver on these accountabilities, the incumbent must have the following authorities:
  • This role has the authority to access legacy system data on the mainframe and credit risk data in the Basel datamarts.
  • This role has the authority to access, read, manipulate and create datasets from third party files, which are loaded to the Basel datamarts
  • This role has the authority to access details of statistical models, decision trees and strategies.
  • This role has the authority to provide information and make recommendations on proposed credit risk models and strategies.
  • This role has the authority to coordinate work and arrange meetings to discuss or resolve issues.
  • This role has the authority to assign work to interns and analysts.
CROSS-FUNCTIONAL RELATIONSHIPS:
This role requires the incumbent to interact with the following processes and/or groups:
  • Other members of the Credit Risk department (BMO and/or Harris) for the purposes of providing information, reviewing models and strategies, and making recommendations
  • The Financing Products department for the purposes of providing product knowledge and making recommendations
  • Model Risk & Vetting for the purposes of providing model documentation for vetting and to comply with policies and standards
  • Cardholder Services for the purposes of providing information as well as receiving information on credit risk models
  • Capital-at-Risk department for the purposes of providing information for CaR plans
  • Third party suppliers (e.g. FLinxs, Accepta, Equifax, etc.) for the purposes of receiving and understanding data
  • Third party suppliers (e.g. SAS, Angoss, WebFocus, etc.) for the purposes of using critical software for the role
  • Central Solutions department for the purposes of supplying data for Basel
  • Information Management department for the purposes of understanding data in the marts

Qualifications

KNOWLEDGE AND SKILLS:
Knowledge:
  • Undergraduate University Degree in Mathematics/Statistics, Computer Science, Engineering, Economics, Operations Research or Business
  • At least five years previous work experience in an analytical role using SAS or any other statistical/data mining software
  • Strong analytical and technical skills required including previous exposure to quantitative analysis, programming and statistical model development
  • Mainframe, UNIX and PC skills
  • Experience with statistical software packages, including SAS and KnowledgeStudio
  • Experience with manipulating data and creating reports using Excel and SQL
  • Good knowledge of bank products and credit lending services
  • Knowledge of the Basel Capital Accord
Skills:
  • Excellent interpersonal, relationship building and communication skills
  • Excellent writing skills
  • Strong analytical and technical skills
  • Strong time management, planning and organizing skills to manage multiple priorities
  • Good leadership skills
  • Good project management skills
We’re here to help
At BMO we have a shared purpose; we put the customer at the centre of everything we do – helping people is in our DNA. For 200 years we have thought about the future—the future of our customers, our communities and our people. We help our customers and our communities by working together, innovating and pushing boundaries to bring them our very best every day. Together we’re changing the way people think about a bank.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at https://bmocareers.com .
BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Job

Data Sciences

Primary Location

Canada-Ontario-Toronto

Organisation

ERPM-X000073

Schedule

full-time

Job Posting

03/18/19

Unposting Date

04/02/19