The Senior Analyst will join the Portfolio Management team, which is accountable to the Vice President, Chief Credit & Analytics Officer as well as the Executive Vice President, Chief Risk Officer. The Senior Analyst will support all existing Loss Forecasting activities, including near-term and long-term forecasting exercises, monitoring error rates through standard back-testing, and providing explanations of model variances compared to actual performance to senior leadership. The Senior Analyst will particularly provide support for official re-forecast exercises that are approved by FFI’s Board of Directors. The Senior Analyst will be expected to challenge existing models and approaches to Loss Forecasting by developing new challenger/benchmark Loss Forecasting models using a variety of methods, including machine learning algorithms and tools.
The ideal candidate will have practical experience in building predictive credit risk models using statistical methods such as time series linear regression and logistic regression, as well as experience with machine learning or AI-backed analytics. Knowledge of portfolio loss forecasting techniques will set the successful candidate apart (Ex: vintage based modeling; and, Basel based c redit risk expected loss estimations for PD/LGD/EAD ).
Required Competencies :
Require ability to create reports and track performance based on observations for recommendations of enhancements to existing portfolio loss forecasting, delinquency forecasting, cash flow forecasting, liquidation forecasting, and loan loss reserve recommendation models.
Strong problem solving/analytical skills with ability to support senior teams in implementing solutions.
Demonstrated technical expertise with a good understanding of financial products, of industry-specific Risk and Analytics tools and of the credit risk life cycle.
Strong communication skills, with strong focus on written expertise.
Strong analytical and organizational skill sets with attention to detail and ability to multi-task.
Demonstrated ability to clearly communicate technical analyses to internal and external partners, including managing contacts with other internal business units (i.e. Financial Planning & Analysis, Accounting/Controllers, IT, Compliance, etc.) as required.
Develop and maintain documentation governing processes and procedures.
Keep informed of industry, regulatory and macroeconomic trends, and the consequent impact on business. Provide recommendations to stay abreast of industry changes.
2 - 4 years of Risk Management or portfolio reporting and forecasting or modeling experience within a Financial Services Organization with focus on Unsecured and Secured Installment Loans and Retail Financing Solutions.
Relevant Co-op or Internship experience accepted as part of total experience.
Master’s degree preferred, Bachelor's degree accepted: in fields such as statistical modeling, business management, actuarial science, finance, statistics, or mathematics.
Experience in programming and a strong aptitude to learn and develop programming and software application expertise. SAS programming experience preferred with strong knowledge of macros; SQL, Python and R experience accepted.
Practical experience in building predictive credit risk models using statistical methods such as time series linear regression and logistic regression. Experience with machine learning or AI-backed analytics a plus.
Knowledge of portfolio loss forecasting techniques (e.g. vintage modeling, c redit risk PD/LGD/EAD estimatio n)
Advanced skill level with Microsoft Excel pivot tables, index match functions, VBA automation, and Microsoft Access or other database management software.
Knowledge of very large databases and/or data warehousing. Proven data mining ability including data preparation techniques required.
Demonstrated ability through course work or on the job experience to understand, utilize and explain predictive modeling and quantitative forecasting tools.
Knowledge of IFRS9 or Basel loss models and/or loan loss reserve requirements would help to elevate the consideration of the successful candidate.
Knowledge of Economic fundamentals and Econometrics would help to elevate the consideration of the successful candidate.
What’s in it for you?
Looking for a rewarding career? You’ve come to the right place. At Fairstone, we offer all our permanent employees:
Competitive salary with bonus potential
Incentive programs to recognize when sales targets are met (applies to branch network employees only)
A minimum of 3 weeks paid vacation (prorated to your start date)
Flexible Health and Dental Benefits
Employer Sponsored Pension Plan
Personal days and sick days
Tuition Assistance Programs
Paid volunteer day and organized volunteering events across the country
Ongoing Learning and Development Training
Referral Incentives up to $5000.00
and Much More……
If you’re seeking a role with a growing business that values employee development, Fairstone is the right place for you!
Come join our team!
Fairstone is an equal opportunity employer. Accordingly, we will make reasonable accommodations to respond to the needs of people with disabilities. Individuals who view themselves as Aboriginals, members of visible minorities, and disabled are encouraged to apply in confidence.
Whether you’re seeking first-time employment or are making a career change, Fairstone has the internal support to help our team members grow and succeed.