Modeling / Scoring / Analysis Resume Sample

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Monte Lubowitz
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Work Experience

Modeling / Scoring / Analysis Group Manager
10/2016 - PRESENT
Chicago, IL
  • Significant interaction with senior management and regulators
  • Develop in-depth understanding of Citi’s internal models and risk management practices for the trading book
  • Obtain understanding and insight into key regulations affecting Citi’s use of internal models for calculating regulatory capital requirements
  • Develop local and remote people management skills, negotiation skills and influencing skills
  • Significant scope for improving processes and practices
  • Relevant consumer finance, mortgage or credit card industry experience to include model development, maintenance, tracking and management
  • Experience working in financial services industry
Modeling / Scoring / Analysis
08/2012 - 08/2016
New York, NY
  • Experience in quantitative analysis & statistical modeling in consumer credit risk
  • Experience in statistical modeling or data mining
  • Use established methodology to align/re-align existing behavior scores used in Citi's global consumer businesses
  • Maintain score alignment documentation/inventory and generate various reports using the aligned scores
  • Cordinate score alignment for Basel reporting
  • Develop globally aggregated behavior scores leveraging centralized database
  • Involve in model development and risk analytics projects in supporting risk management activities in Citi's global consumer businesses
Modeling / Scoring / Analysis Analyst
01/2006 - 05/2012
Chicago, IL
  • Interface with stakeholders such as model developers, model sponsors, model users, and production, for model risk management related activities
  • Be a team player and get along well with different personality types
  • Present credibly to both large and small groups
  • Strong interpersonal skills and ability to work with and influence at all levels of management
  • Flexibility to work well with varying personal styles
  • Develop strong working relationships that foster cooperation and respect
  • Excellent interpersonal skills necessary to deal with colleagues at all levels across the firm
  • Manage multiple demands
  • Good understanding of market risk and counterparty credit risk concepts, practices, and models concordant with level of seniority


Lawrence University
2001 - 2006
Master's Degree in Statistics

Professional Skills

  • Assessing model risk by reviewing model assumptions, examining model input, data transformations, diagnosis test, verifying the statistical formulation, checking algorithms and programs, developing alternative models to perform statistical testing, and writing validation reports
  • Interpret and articulate regulatory rules and requirements in relation to the use of internal risk models for regulatory capital purposes, and to turn these into actionable work plans
  • Strong programming skills in SAS and MS Office (Access, Excel, Power point)
  • Strong programming skills such as C++, Java, SAS, Python, Matlab or R
  • Detail oriented with good communication skills
  • Experience in working with risk management concepts and modeling
  • Experience with end-to-end model development, expertise on counterparty credit risk modelling, derivative pricing, and related knowledge

How to write Modeling / Scoring / Analysis Resume

Modeling / Scoring / Analysis role is responsible for programming, modeling, analysis, database, basic, design, reporting, trading, credit, matlab.
To write great resume for modeling / scoring / analysis job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Modeling / Scoring / Analysis Resume

The section contact information is important in your modeling / scoring / analysis resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Modeling / Scoring / Analysis Resume

The section work experience is an essential part of your modeling / scoring / analysis resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous modeling / scoring / analysis responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular modeling / scoring / analysis position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions. Representative Modeling / Scoring / Analysis resume experience can include:

  • Experience of one or more of the following is an advantage but not essential: derivative pricing and exotic products; risk management practices and procedures; numerical methods; Monte Carlo simulations; statistical hypotheses testing
  • Good communication skill is required. Be organized, disciplined and detail oriented
  • Country: United States

Education on a Modeling / Scoring / Analysis Resume

Make sure to make education a priority on your modeling / scoring / analysis resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your modeling / scoring / analysis experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Modeling / Scoring / Analysis Resume

When listing skills on your modeling / scoring / analysis resume, remember always to be honest about your level of ability. Include the Skills section after experience. Present the most important skills in your resume, there's a list of typical modeling / scoring / analysis skills:

  • Experience in quantitative analysis & statistical modeling in consumer credit risk
  • Track record of success in dealing with senior management and regulators
  • Significant background in Control, Audit, or Risk
  • Experience in developing or tracking quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and (especially) econometric modeling of consumer credit risk
  • Strong analytical, commercial and remedial skills. In-depth knowledge about Citi’s commercial risk policies and procedures including classification and collateral management
  • Excellent programming skill and data analysis capability are essential, especially in C/C++, Perl, shell scripts, VBA and basic database skills in either Oracle or Sybase

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