This job post is closed and the position is probably filled. Please do not apply.
🤖 Automatically closed by a robot after apply link
was detected as broken.
Description:
KOHO is seeking a Data Scientist to join their expanding Risk Team and enhance data operations.
The role involves designing and developing statistical credit risk models (PD, EAD, and LGD) for various retail lending products.
Responsibilities include performing feature engineering from traditional credit risk and alternative data sources.
The Data Scientist will assist with model deployment, monitoring, and recalibrations as needed.
The position requires leading complex insights projects to identify patterns in data and forecast future scenarios.
The candidate must be organized and skilled in transforming and preparing large datasets for analysis.
Creating dashboards and conducting ad-hoc analyses to address urgent data-related inquiries is essential.
The role involves drafting detailed documentation of results, insights, and methodologies on a project basis.
Coordination and communication with multiple stakeholders are required.
The Data Scientist will present models and analyses in Credit Committee meetings and seek approval from business owners and leadership teams.
The position also entails representing the risk modeling function and promoting its visibility and value within the business.
Requirements:
A Bachelor's, Master’s, or Ph.D. degree in a quantitative field, economics, business, engineering, or equivalent is required.
The candidate must have 5+ years of experience collaborating with data, engineering, and business teams.
Sound statistical knowledge, including descriptive statistics, hypothesis testing, probability distributions, correlation analysis, sampling techniques, and machine learning, is essential.
Understanding the fundamentals of scorecard development, including weight of evidence and information value, is necessary.
Exposure to regulatory requirements (OSFI, Basel, EBA) for retail risk modeling is required.
The candidate should have a curiosity about lending processes and resilience in exploring data patterns to find solutions.
Extensive model validation experience and experience working with retail lending products are mandatory.
Proficiency in predictive credit risk modeling and hands-on experience with data transformations, analysis, modeling, and documentation are required.
A passion for applying data science in financial services and innovative ideas for enhancing customers' financial lives is essential.
Exceptional analytical and problem-solving abilities are necessary.
Proficiency in SQL and Python is required.
Benefits:
KOHO offers company-wide summer wellness days, winter holiday closure, personal days, a wellness spending account, and maternity & parental leave top-up to promote work-life balance.
The company operates on a remote-first model, allowing employees to work from anywhere in Canada with a budget to set up their home office.
Employees have access to an in-house certified performance coach and an annual training budget for professional development.
Salary assessments are conducted twice per year to ensure competitive compensation.
KOHO has received 7 "Great Place to Work ®" awards since 2019, reflecting its positive culture.
Every employee receives a generous amount of equity with a 10-year exercise window, promoting a sense of ownership in the company.