Analyst II, Trust and Safety Analytics

Affirm; Victoria; On-site; CAD 109,000 - 159,000; Full time

Job summary

A financial technology company is seeking a data expert to join their Trust & Safety Analytics team in Victoria. This role involves exploring data to enhance fraud verification strategies and improve user experience during onboarding. Candidates should have 2-4 years of experience in customer risk management, be proficient in SQL and Python, and thrive in fast-paced environments. The position offers a competitive salary range of $109,000-159,000 per year along with comprehensive health benefits and flexibility in work-life balance.

Benefits

Health care coverage

Flexible Spending Wallets

Competitive vacation and holiday schedules

Employee stock purchase plan

Qualifications

• 2-4 years of experience in customer risk management at a payments or financial company.
• Knowledge of payment processing fundamentals and industry risk trends.

Responsibilities

• Explore data and identify opportunities to accelerate product development.
• Translate analysis into recommendations for improving conversion rates.
• Develop frameworks for managing fraud machine learning models.
• Partner with teams to build fraud verification strategies.

Skills

SQL

Python

Collaboration

Communication

Time management

Education

Bachelor’s or Master’s degree in a quantitatively rigorous discipline

Job description

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.

The Trust & Safety Analytics team works cross-functionally with Product, Engineering, Machine Learning, and Compliance to discover insights through analysis and design experiments that optimize the trade-off between fraud prevention and user conversion while ensuring our processes remain compliant.

We are looking for a new team member to continuously identify customer pain points and test new fraud verification strategies to create the best-in-class user experience during customer onboarding and repeat transactions. You will also keep looking for new risk differentiators and remediate the vulnerabilities in our decisioning system to keep our platform safe. Additionally, you will be the data expert of our team with the opportunity to own data models and reporting dashboards.

What You’ll Do

• Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety, and drive the analytical work of online experiment to optimize the existing strategies to achieve better conversion rate.
• Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates
• Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models
• Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets for analytical purposes.
• Own end-to-end analytics workflow, including defining success and performance metrics, socializing them across the organization, and creating actionable dashboards and reports
• Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments
• Partner closely with Product and Engineering to identify highest impact points in the funnel to drive user acquisition and retention

What We Look For

• EXPERIENCE - 2-4 years work experience in customer risk management at a payments or financial company.
• TECHNICAL SKILLS - Fluent in SQL and Python
• PEOPLE SKILLS - A team player with ability to collaborate and influence across different teams in the organization
• COMMUNICATION - Ability to clearly communicate findings and recommendations to both technical and non-technical audiences
• PRODUCT KNOWLEDGE - Passion to understand how the product works and how to change to make it more effective
• MULTI-TASKING - Strong time management skills and the ability to manage multiple projects and priorities
• Able to thrive in a fast-paced environment and be responsive and available during high intensity moments
• EDUCATION - Bachelor’s or Master’s degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics desired
• RISK KNOWLEDGE - Knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development.

Pay Grade - K

Equity Grade - 4

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 (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

CAN base pay range per year: $109,000-159,000

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.

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