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Concora Credit

Runs credit card programs for people with imperfect credit

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBeaverton, OR, USANo salary listedIn-person

About the Job

Requirements

  • A master's degree in statistics, mathematics, computer science, or another analytical field and 2–4 years of industry experience in statistical modeling and analytics, preferably in finance; alternatively, a Ph.D. in one of those fields and 1–3 years of relevant experience.
  • At least 2 years of experience in data analytics, applied machine learning, or related business experience, with the ability to convert ideas into testable hypotheses or next steps.
  • Deep understanding and experience with data analysis and statistical and machine learning models.
  • A strong foundation in machine learning, including experience implementing and optimizing machine learning models.
  • Knowledge of applied statistics, including hypothesis testing, regression techniques, probability, structured and unstructured learning algorithms, and time-series analytics and forecasting.
  • Strong programming skills in Python and/or R; Python is preferred.
  • Excellent problem-solving ability and disciplined attention to detail.
  • Ability to work proactively and collaboratively in a cross-functional team.
  • Strong quantitative skills and verbal and written communication skills.

Responsibilities

  • Partner with Credit Risk to build production machine learning models that determine lending decisions and interactions with existing customers.
  • Assess the quality and risk of model methodologies, algorithms, outputs, and business processes.
  • Develop understanding of new data sources and assess how they may improve existing processes and credit decisions.
  • Design, develop, and deploy infrastructure for training, testing, and serving models at scale.
  • Develop benchmark and challenger models to assess critical modeling decisions.
  • Develop explainability and monitoring tools to support responsible use of statistical machine learning models and compliance with regulatory guidelines.
  • Develop and maintain high-quality, transparent model documentation.
  • Communicate insights and solutions across the organization through presentations and technical reports.
  • Use R, Python, SQL, and Databricks to develop models, applying statistical and coding techniques to structured and unstructured data.
  • Identify business challenges and opportunities and use modeling and analytics to provide strategic or tactical recommendations.
  • Expand the company's capabilities in risk, marketing, and operational analytics.
  • Partner with leaders to develop an enterprise-wide long-term modeling roadmap, execute the roadmap, and ensure models are implemented successfully and promptly in production.
  • Mentor junior analysts, provide guidance, and offer training opportunities.

Desired Qualifications

  • Predictive modeling experience with a quantitative background.
  • Experience working with consumer or business lending data.
  • Hands-on experience with Python, Spark SQL, XGBoost, and Databricks.

About the Company

Concora Credit

Runs credit card programs for people with imperfect credit

Concora Credit runs credit card programs for people with less-than-perfect credit, working as a service provider to the banks that issue the cards. Its Milestone, Indigo and Destiny Mastercards are marketed directly to consumers by mail, email and online and work wherever Mastercard is accepted in the US. It also runs private-label store cards for retailers and healthcare providers, giving shoppers a second-look option after a primary lender turns them down. Concora works with partner banks on product design and underwriting strategy, then administers the programs and services customer accounts. Founded in 2001 as Genesis Financial Solutions, it rebranded as Concora Credit in September 2023 and is headquartered in Beaverton, Oregon.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Beaverton, OR
Founded
2001

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