Advanced Analytics & Modeling - Analyst at Credit One Bank
Las Vegas, NV 89113, USA -
Full Time


Start Date

Immediate

Expiry Date

09 May, 25

Salary

0.0

Posted On

09 Feb, 25

Experience

2 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

R, Microsoft Office, Finance, Economics, Mathematics, Communication Skills, Python, Statistics, Sas

Industry

Financial Services

Description

POSITION SUMMARY

This position is a part of Advanced Analytics, which is a problem-solving, value-adding unit of the Risk Management department. Our risk professionals are tasked with identifying revenue opportunities and risk trends by monitoring the performance of our new account acquisitions, growth opportunities, and general market trends. We develop and implement strategies essential for new account acquisition, including targeting prospects, assigning offers, and setting initial credit limits. We also provide full-service data science support for our strategy peers in areas including testing, new data source evaluation, and competitive intelligence.
On the Advanced Analytics team, this position will be primarily responsible for developing quantitative tools and solutions to drive incremental growth. This position will focus on developing, evaluating, analyzing, and reporting on the impact and performance of strategies for acquisitions and existing cardmember management. This is a quantitative analytical role that blends the statistical and the practical by focusing on applied modeling and how a financial institution successfully converts a model into a profitable tool.
This candidate should be a lifelong learner who is ready to focus on credit card lending and supporting statistical tools, loss rate calculation, forecasting, credit bureau attributes, P&L drivers, and portfolio scores. S/he should be versed in advanced analytical techniques.

POSITION REQUIREMENTS:

  • Bachelor’s degree in quantitative area such as Statistics, Economics, Mathematics or Finance; or a minimum of 2 years of college-level Business or Statistical classes plus equivalent industry experience
  • Excellent statistical and quantitative skills
  • Excellent communication skills, both written and oral
  • Excellent analytical and conceptual problem-solving skills
  • Advanced capability with at least one of the following: SAS, Enterprise Miner, R, Python, H2O, or similar
  • Well-developed organizational and prioritization skills, with the ability to manage multiple and sometimes competing priorities
  • Flexibility and ability to thrive in a fast-paced, rapidly changing environment
  • Proficiency with Microsoft Office.
Responsibilities

Please refer the Job description for details

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