Analyst II

Affirm; Remote; CAD 120,000 - 159,000; Full time

Job summary

A consumer finance company located in Canada is looking for a skilled data analyst to optimize credit underwriting strategies in a remote-first environment. This role requires a minimum of 2 years in data analysis, proficiency in SQL and Python, and strong collaboration skills. Benefits include a competitive salary of up to $159,000 per year, comprehensive medical coverage, and generous stipends. Join a team that values equal-opportunity employment and promotes career growth.

Benefits

Comprehensive benefits package

Generous stipends for technology and lifestyle needs

Competitive vacation schedule

Qualifications

• Minimum of 2 years of experience in consumer credit risk management.
• Proficiency in SQL and Python, experience with Spark is a plus.
• Strong collaboration and influencing skills.

Responsibilities

• Leverage data analytics to optimize credit underwriting strategies.
• Collaborate to improve credit risk capabilities.
• Support the launch of new products with effective strategies.

Skills

SQL

Python

Data analysis

Collaboration

Communication

Education

Bachelor’s degree in a related field

Tools

Spark

Job description

Employer Industry: Consumer Finance

Why consider this job opportunity

• Salary up to $159,000 per year
• Opportunity for career advancement and growth within the organization
• Remote-first work environment with flexibility to work from anywhere within the country of employment
• Comprehensive benefits package, including 100% subsidized medical coverage for you and your dependents
• Generous stipends for technology, food, and lifestyle needs, plus an employee stock purchase plan
• Competitive vacation and holiday schedules to support work-life balance

What to Expect (Job Responsibilities)

• Leverage experimentation and advanced data analytics to derive insights and optimize credit underwriting strategies
• Determine and optimize purchasing power to balance risk and growth, enhancing user engagement
• Play a pivotal role in managing underwriting cost savings and improving profitability
• Support the launch of new products by designing and implementing effective credit strategies
• Collaborate with Machine Learning and Engineering teams to build effective credit risk capabilities

What is Required (Qualifications)

• Minimum of 2 years of work experience as a data analyst/data scientist, preferably in consumer credit risk management
• Proficiency in SQL and Python, or other scripting languages; experience with Spark is a plus
• Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
• Strong collaboration and influencing skills across different teams in the organization
• A Bachelor’s degree in a related field or equivalent practical experience

How to Stand Out (Preferred Qualifications)

• Experience or knowledge in Machine Learning
• Curiosity and passion for learning new things and innovative thinking
• Ability to handle multiple responsibilities and demonstrate grit in a fast-paced environment
• Intelligence paired with humility, fostering a positive team dynamic

We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.