Remote Data Scientist (Credit Risk)

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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.
About the job
Posted on
Job type
Salary
$ 120,000 - 150,000 CAD / year
Position
Experience level
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