Analyst, Credit Risk Modeling

2 weeks ago


Montréal, Canada Laurentian Bank Full time

Seeing beyond numbers
**TM**
At Laurentian Bank, we believe we can change banking for the better. Founded in Montreal in 1846, Laurentian Bank helps families, businesses and communities thrive. Today, we have over 3,000 employees working together as One Team, to provide a broad range of financial services and advice-based solutions for customers across Canada and the United States. We drive results by placing our customers first, making the better choice, acting courageously, and believing everyone belongs.

One of the main activities of the modelling team is to develop risk measurement models for the Bank's credit portfolios. The intern will have a unique opportunity to use his/her knowledge of statistics, econometrics and quantitative finance to participate in various projects involving credit risk modelling. In addition to the design of risk models, the incumbent will have the opportunity to improve his/her skills in various other areas, e.g., use of SAS software for statistical analysis and modelling, or knowledge of the regulatory framework in connection with the risk assessment of credit portfolios.

The incumbent participates in developing credit risk assessment models. He or she issues recommendations regarding the requisite changes to these models for the various credit portfolios held by the Bank and its subsidiaries.

The incumbent also analyzes and monitors the performance of credit risk control and quantification models, processes and strategies. He or she is proactive in creating and implementing reports and solutions designed to improve the monitoring and analysis of credit risks.

LI-Remote

LI-MB1

**Responsibilities**:
º Develop quantitative models to assess all parameters for probability of default, exposure at default and loss given default, which are used to calculate regulatory capital and the Bank's collective allowances.

º Present the models to the business lines, take their needs into consideration and ensure compliance. Identify and minimize the potential impacts on credit operations.

º Take part analyzing the performance of current credit holders and the credit quality trend of portfolios.

º Take part in developing, implementing and monitoring all credit risk assessment models.

º Improve credit risk assessment models to ensure consistency and a balance between business needs, risk management and compliance with risk management requirements and good practices.

**Qualifications**:
**Qualifications**:
º Graduate degree in a quantitative field: finance, statistics, econometrics, applied mathematics, actuarial science, economics or any related field

º Minimum 2 to 3 years of relevant experience in credit risk management

º Relevant experience developing credit risk assessment models

Specific competencies

º Knowledge of Canadian banking regulations, in particular regulations related to credit risk quantification

º In-depth knowledge of using SQL to operate databases and specialized statistical tools, such as SAS (EG and EM)

º In-depth knowledge of statistical and mathematical methodologies applied to credit risk management (logistic regression, survival analysis, inferencing technique, etc.)

º Ability to influence proposed solutions and innovate

º Ability to simplify and communicate complex ideas

º Knowledge of the banking sector, Canadian credit products and credit risk management tools

º Excellent analytical and problem-solving skills

º Detail-oriented and meticulous

º Focused on teamwork and cooperation

º Bilingual (English and French)
- Qualifications

Professional working proficiency in French and English languages required as position involves frequent written and oral communication on complex matters with internal and external parties in both languages.

**Additional Information**:
Equity, Diversity & Inclusion:
Accessibility:
Accommodations for persons with disabilities are available upon request for job applicants taking part in all aspects of the recruitment process.

PIPEDA:
We may collect, use or disclose your personal information for the purpose of establishing an employment relationship with you.


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