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Quantitative Analytics Manager

Affirm

Windsor

Remote

CAD 170,000 - 220,000

Full time

Today
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Job summary

A financial technology firm is seeking a Mid-Senior Level Analyst to develop AI-powered models for risk analysis and pricing recommendations. The ideal candidate has 6+ years of relevant experience and a master's degree in a quantitative field. This full-time position offers a competitive salary range of $170,000 - $220,000, with remote working flexibility. Benefits include comprehensive health coverage, flexible spending stipends, and a stock purchase plan.

Benefits

Health care coverage
Flexible Spending Wallets
Competitive vacation time
Employee Stock Purchase Plan

Qualifications

  • 6+ years of experience in an analytical or quantitative role.
  • Practical knowledge of fixed income, financial modeling, and consumer financial services.
  • Experience with large data sets.

Responsibilities

  • Develop AI-powered, machine learning models for risk analysis.
  • Implement and track pricing recommendations from optimization methods.
  • Launch pricing experiments and monitor results.

Skills

Analytical skills
Quantitative skills
Knowledge of Python
Knowledge of SQL
Financial modeling

Education

Masters Degree in relevant field

Tools

PySpark
Github
Job description
What You’ll Do
  • Apply and develop AI-powered, machine learning models to simulate and analyze risk on Affirm’s loan portfolio
  • Ideate, validate, implement, and track performance of pricing recommendations that were generated by discrete optimization methods
  • Build expertise in our evolving data warehouse, risk models, and optimization methodologies
  • Assist in launching user-level pricing experiments and monitor against model results
  • Partner with our Credit, Product, Engineering, Applied Machine Learning, Commercial, Finance and Capital Markets teams on company-wide initiatives
What We Look For
  • 6+ years of experience in an analytical or quantitative role
  • Practical knowledge of fixed income, financial modeling, asset pricing, and consumer financial services
  • Familiarity in applying Python and SQL to analyze large data sets
  • PySpark experience is a plus
  • Existing Github presence or portfolio of former projects
  • Masters Degree in Computer Science, Mathematics, Data Science, Statistics, Finance, or Financial Engineering is a plus

Pay Grade - O

Equity Grade - 6

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits.

CAN base pay range per year : $170,000 - $220,000

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

Benefits
  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Research, Analyst, and Information Technology

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