Quantitative Analytics Manager

Affirm; Victoria; Hybrid; CAD 170,000 - 220,000; Full time

Job summary

A leading fintech company in Victoria is seeking a Quantitative Analytics Manager to enhance our loan portfolio analysis through machine learning and risk assessment. Candidates should have substantial experience in quantitative roles, advanced knowledge in financial modeling, and proficiency in Python and SQL. This position offers a competitive salary range of $170,000 - $220,000 and various employee benefits including health coverage and flexible spending. This role allows for remote work with some in-office expectations.

Benefits

Health care coverage

Flexible Spending Wallets

Paid time off

Employee stock purchase plan

Qualifications

• 6+ years of experience in an analytical or quantitative role.
• Practical knowledge of financial modeling and consumer financial services.
• Existing GitHub presence or portfolio of former projects.

Responsibilities

• Apply and develop AI-powered, machine learning models to analyze risk.
• Ideate, validate, and track pricing recommendations.
• Partner with various teams on company-wide initiatives.

Skills

Analytical skills

Financial modeling

Python

SQL

Machine learning

Education

Master’s Degree in a relevant field

Tools

Python

SQL

PySpark

Job description

Overview

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. We’re looking for an individual to join the Merchant Pricing team. As a Quantitative Analytics Manager, you’ll help optimize our portfolio segments at scale and refine the analytical tooling to get us there. This is a high-impact role focused on making prudent decisions that drive profitable growth.

Location: Affirm, Victoria, British Columbia, Canada. This is a remote-friendly role with some in-office expectations based on job responsibilities.

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 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 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 with Python and SQL to analyze large data sets
• PySpark experience is a plus
• Existing GitHub presence or portfolio of former projects
• Master’s Degree in Computer Science, Mathematics, Data Science, Statistics, Finance, or Financial Engineering is a plus

Pay and Benefits

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.

Benefits

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

Affirm is remote-first. Most roles are remote; some roles may require working from an assigned Affirm office. A limited number of roles remain office-based due to responsibilities.

Equal Opportunity

We believe it’s important to provide an inclusive interview experience for all, including people with disabilities. Reasonable accommodations are available during the hiring process. By clicking "Submit Application," you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and consent to the collection, processing, use, and storage of your personal information as described therein.

Employment Details

• Seniority level : Mid-Senior level
• Employment type : Full-time
• Job function : Research, Analyst, and Information Technology

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