Staff Credit Data Analyst - Cards

• About Our Client:

The organization operates in the financial services sector, focusing on credit card products and credit risk management. It addresses challenges in underwriting and portfolio risk by leveraging data analytics and modeling to improve credit strategies. The program emphasizes balancing portfolio growth with risk control, serving a broad customer base through data-driven credit lifecycle management.

• About the Opportunity:

The Staff Credit Data Analyst - Cards plays a key role in developing and refining credit risk strategies for the credit card portfolio. This position contributes by designing data foundations, reporting mechanisms, and analytical models that guide underwriting decisions and credit risk management across the portfolio lifecycle. The role impacts the organization''s ability to balance credit growth and risk, supporting strategic initiatives and operational improvements.

• Responsibilities:

• Support design and monitoring of underwriting strategies, credit line increases, and portfolio metrics

• Analyze underwriting strategy performance and identify improvement opportunities

• Execute and monitor credit strategy programs including credit line increases and acquisition campaigns

• Support design and evaluation of experiments and champion/challenger tests for credit strategies

• Assist in defining exposure limits, eligibility rules, and acquisition criteria

• Query, clean, and analyze large datasets using SQL and Python

• Develop data assets and dashboards to track customer behavior and credit performance

• Automate routine data and reporting processes

• Perform exploratory data analysis, feature engineering, segmentation, and data quality checks

• Evaluate alternative data sources and support integration into decision processes

• Assist in managing and monitoring credit risk model performance

• Collaborate with Product and Engineering teams to implement policy and decision logic updates

• Translate analytical findings into actionable credit policy recommendations

• Document credit strategies and decision workflows

• Coordinate initiatives involving credit bureaus

• Present insights clearly to stakeholders

• Requirements:

• Degree in Computer Science, Statistics, Economics, Finance, or related field; advanced degree is a plus

• Minimum of 4 years in credit card credit risk analytics; fintech experience preferred

• Experience with credit bureau data for modeling, segmentation, and benchmarking

• Experience in customer targeting and prescreen campaigns

• Experience or exposure to subprime markets or alternative credit data is a plus

• Proficient in SQL and Python or similar tools

• Familiarity with data automation tools such as AWS Glue, Airflow, DBT

• Experience with visualization tools like Tableau, Power BI, or Looker

• Strong skills in Excel or Google Sheets

• Exposure to experimentation design and tracking

• Experience working with large datasets in cloud data warehouses (Snowflake, BigQuery, Redshift)

• Strong analytical skills and attention to data quality

• Ability to communicate data insights into clear recommendations

• Curiosity, ownership mindset, and adaptability in a fast-paced environment

• Collaborative and eager to learn new tools and risk frameworks

• Pay Range and Compensation Package:

• Base salary range is $101,000 to $150,000 annually, with individual pay based on experience, skills, and other factors

• Benefits & Perks:

• Company equity through stock options

• Performance-based bonuses

• Employer-paid health, vision, and dental insurance

• Flexible vacation policy

• Educational assistance

• Free gym membership

• Casual dress code

• Team building events and activities

• Remote work and flexible scheduling options

• Paid parental leave

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.