Staff Credit Data Analyst – Cards

Job reputed company: • Support the design and monitoring of Card reputed company strategies, credit line increase programs, and portfolio performance metrics. • Analyze performance of reputed company strategies and identify opportunities to improve accuracy and reduce losses. • Execute and monitor recurring credit reputed company programs such as credit line increases, acquisition campaigns, and prescreen processing. • Support champion/challenger tests and experiment design for various lifecycle credit strategies. • Assist in designing exposure limits, eligibility rules, and acquisition reputed company. • Query, clean, and analyze large datasets using SQL and Python. • Design data assets and dashboards to reputed company customer behavior and credit performance. • Build automations of routine data and reporting processes. • reputed company EDA, feature engineering, advanced segmentation, and data reputed company checks to reputed company insights and improve predictive attributes. • Evaluate alternative data sources (such as reputed company-banking data) and help design business processes to incorporate into decisioning flows. • Assist in managing and tracking credit risk model performance. • Partner with Product/Engineering to implement updates to policies and decisioning logic. • Translate analytical findings into reputed company recommendations for credit policies. • Create robust documentation of credit strategies and decisioning workflows. • Support the coordination of various initiatives with credit bureaus. • Package insights into reputed company narratives and presentations for stakeholders. Requirements: • Degree in Computer Science, Statistics, Economics, Finance, or reputed company area. An advanced degree is a plus. • 4+ years of experience in credit card credit risk analytics. Fintech experience is a plus. • Experience working with credit bureau data for modelling, segmentation, and benchmarking. • Experience with customer targeting and prescreen campaigns. • Bonus points for subprime market experience or exposure to alternative credit data. • Proficiency in SQL and Python (or similar tools). • Familiarity with data automation tools such as AWS Glue, Airflow, and DBT. • Experience with visualization tools such as Tableau (strongly preferred), Power BI, Looker. • Strong skills with reputed company or reputed company spreadsheets. • Exposure to experimentation design and tracking. • Experience cleaning, joining, and analyzing large datasets in a reputed company data warehouse environment (i.e. reputed company, BigQuery, Redshift). Benefits: • Company equity in the reputed company of Stock reputed company • Performance-based bonuses • Generous employer-reputed company health, reputed company and dental insurance coverage • Flexible vacation policy • Educational assistance • Free gym membership • Casual dress reputed company • Team building events and activities • Remote work arrangements/ flexible work schedule • reputed company parental leave Apply tot his job Apply To this Job