Credit Loss Forecasting Analytics Data Scientist - (US CITIZENS / GREEN CARD HOLDERS ONLY) - 100% REMOTE ROLE

This role is for a "Credit Loss Forecasting Analytics Data Scientist," a long-term remote position for US citizens or Green Card holders. Requires 3+ years in consumer lending statistical modeling, proficiency in Python/PySpark, and experience with loss forecasting models.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
January 17, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Forecasting #Big Data #PySpark #Python #SAS #Automation #Computer Science #Statistics #Mathematics #"ETL (Extract #Transform #Load)" #Data Science #Data Warehouse #ML (Machine Learning) #AWS (Amazon Web Services) #Spark (Apache Spark) #Cloud
Role description
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• BEST RATES AVAILABLE


• US CITIZENS / Green Card Holders ONLY

NO THIRD PARTIES PLS

THIS IS A DIRECT CLIENT REQUIREMENT !

Those authorized to work without sponsorship are encouraged to apply please.

Reach Saakshi Sahni - 703-955-1070

Email: saakshi(at)zilliontechnologies(dot)com // 7039551070

Credit Model Development & Data Science Analytics

Duration: Long Term Ongoing Project with NO end Date

Direct Client

$$ BEST RATES $$

100% Remote Role

US CITIZENS / Green Card Holders / EAD Green card ONLY

Job Description:

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 (SR11-7)
• 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 5+ years’ experience in Risk, Finance, Consumer Lending
• 3+ years of experience in Consumer Lending statistical modeling/analytics, preferably related to CECL and/or Loss Forecasting modeling for credit cards
• 2+ years in coding with Python, PySpark or other equivalent language within the past 5 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

Please send qualified resumes directly to : saakshi(at)zilliontechnologies(dot)com // 7039551070

Thanks,

Saakshi Sahni

Zillion Technologies Inc.

Director - Talent Acquisition

Email: saakshi(at)zilliontechnologies(dot)com // 703-955-1070