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Sr. Quantitative Risk Analyst in Greenville, SC at MDI Group

Date Posted: 2/27/2019

Job Snapshot

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Job Description

Sr. Quantitative Risk Analyst 
Greenville, SC
Direct Hire 

Develops and supports quantitative and analytic models, assessments and/or applications in support of risk and other management efforts.  Applies diverse methodologies across a variety of disciplines to identify and solve complex and sometimes, undefined business problems.  Works with leadership to improve existing practices and satisfy regulatory requirements.  

What you will be doing:

  • Utilizes advanced analytics to asses future risk, opportunities, and effectiveness.  Translates results into meaningful solutions to enhance decision making.  May present findings to various levels of leadership.
  • Applies advanced knowledge and financial best practices to quantify risk and aggregate exposures.  Develops complex systems and programs that measure aggregate risk exposures.
  • Engages in model validation and produces model validation reports
  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer business objectives and drive change.  Translates recommendations into communication materials to effectively present for peer review and various management levels.
  • Applies advanced knowledge to produce advanced analytical material for discussions with cross-functional teams to understand complex business objectives and influence solution strategies.
  • Provides mentorship to other teammates

Must Have:

  • Background in Mathematics, Statistics, Economics, Actuarial Science or other quantitative field; Master’s or PhD in a quantitative discipline preferred
  • Five years of experience related to quantitative analysis in a discipline relevant to risk management to include statistical analysis, modeling, mathematics, or other quantitative discipline
  • Work experience in credit risk management environment preferred
  • Experience in credit scoring analysis, risk rating systems, and loan forecasting is preferred
  • Proven experience in implementing credit risk systems and/or reporting functionalities preferred
  • Experience incorporating econometric data into management process and models desired
  • Proven ability to translate business reporting requirements into sustainable reporting solutions
  • Advanced proficiency in R Language, Python, Tableau, Alteryx, and MS SQL Server programming desired.
  • Strong focus on service, quality, and delivery with flexibility to multi-task in order to meet deadlines
  • Ability to develop creative solutions to meet needs
  • Excellent time management and organizational skills with attention to detail
  • Positive attitude and self-motivated with ability to learn quickly, adjust to changes and think outside the box
  • Strong project management skills
  • Excellent communication and presentation skills relevant to multiple levels within the Bank
  • Participate in all required compliance training, including Bank Secrecy Act/anti-money laundering training, as well as internal and external training programs, online training, meetings, and seminars/conferences, etc.


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