IT - Applications Programmer II

ICONMA; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A leading financial institution is seeking an IT - Applications Programmer II for their Toronto office. The successful candidate will develop and enhance credit risk models while collaborating with various teams on econometric projects. Candidates should have a strong background in statistical modeling and a graduate degree in a quantitative field. Health benefits and excellent career growth opportunities are offered.

Benefits

Health Benefits

Referral Program

Excellent growth and advancement opportunities

Qualifications

• Strong background in data-driven statistical modeling.
• Graduate degree in Applied Econometrics, Economics, Mathematics, Statistics, Actuarial Science, Computer Science or Physics.

Responsibilities

• Develop PD, LGD and UGD models for credit risk.
• Design econometric models linking credit losses to macroeconomic factors.
• Collaborate with cross-functional teams on modeling initiatives.

Skills

Statistical modeling

Supervised learning

Unsupervised learning

Discriminative models

Education

Graduate degree in a quantitative field

Job description

Our Client, a Banking company, is looking for an IT - Applications Programmer II for their Toronto, ON/ Hybrid location.

Responsibilities:

• The NRMD group is hiring a Modelling/Forecasting Senior Analyst to develop, enhance, and implement credit risk models for non-retail portfolios. Detailed responsibilities are as follows:
• Develop PD, LGD and UGD models for DFAST, EWST, CECL and IFRS9 usage;
• Design econometric models to explore relationships between credit losses and the macroeconomic environment;
• Design mathematical and statistical algorithms to enhance existing models;
• Conduct applied research for credit risk modeling;
• Perform ad hoc analyses as required by management and other business partners;
• Participate in design, planning, implementation and testing of various modeling initiatives;
• Collaborate with non-retail teams and participate in cross-functional projects as needed;
• Produce and maintain well-articulated documentation on above;
• Write and maintain robust code for performing the above functions.

Requirements:

• Strong background in data-driven statistical modeling, supervised learning, unsupervised learning and discriminative models.
• Strong work ethic and adaptable to changing priorities.
• Graduate degree in a quantitative field, such as Applied Econometrics, Economics, Mathematics, Statistics, Actuarial Science, Computer Science or Physics.

Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or expression, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.