Demo

Financial Analyst III

Sunrise Systems
Charlotte, NC Full Time
POSTED ON 1/20/2025
AVAILABLE BEFORE 4/17/2025

Job title : Credit Model Development & Data Science Analytics

Job ID : -

Location : Any US; Prefer EST / CST working hours.

Duration : months; with possible extensions

MUST HAVE : Detailed-oriented, high level of intellectual curiosity and strong sense of ownership. Experience in developing statistical loss forecasting models, PD / EAD modeling desired

Essential Responsibilities :

  • Develop, implement, and maintain an integrated loss forecasting and capital modeling suite that supports overall alignment between baseline and stressed scenarios, as well as capital planning initiatives using PySpark / Python / SAS or other programing language and big data
  • Support the development of balance and revenue forecasting models, encompassing data, statistics, modeling and business acumen
  • Extract and analyze client level data using structured and / or unstructured data across several data warehouses to generate actionable insights and inputs to model development
  • Analyze data to identify patterns and trends across sales / payment / delinquency behavior
  • Adapt automation and develop alternative predictive methodologies (Machine Learning) and / or cloud initiatives (AWS) to current and future models to enhance functionality
  • Plan and execute self-driven analytics using next generation technologies, prepare analysis and reports to support discussions on key analytics and model aspects to drive decision making
  • Manipulate large data sets and use them to identify trends and reach meaningful conclusions to inform strategic business decisions
  • Develop attribution analysis and synthesize results to evaluate the applicability of existing models for cross-functional use, identify gaps and develop solutions to reduce process redundancies
  • Familiarity with Model Governance trends / developments across the banking sector, especially as related to credit card or consumer lending (SR-)
  • Strong communication skills to facilitate complex discussions in productive and collaborative manner
  • Develop alternative predictive methodologies / tools to better identify credit dynamics in portfolio performance

Qualifications / Requirements :

  • Bachelors or Masters in Mathematics / Statistics, Computer Science, Economics, Finance or other quantitative discipline; or in lieu of a degree years' experience in Risk, Finance, Consumer Lending
  • years of experience in Consumer Lending statistical modeling / analytics, preferably related to CECL and / or Loss Forecasting modeling for credit cards
  • years in coding with Python, PySpark or other equivalent language within the past years
  • Detailed-oriented, high level of intellectual curiosity and strong sense of ownership
  • Good business acumen and the ability to connect data with business decisions
  • Experience in developing statistical loss forecasting models, PD / EAD modeling desired
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