Quantitative Risk Analyst Quantitative Risk Analyst …

Phyton Talent Advisors
in New York, NY, United States
Permanent, Full time
Last application, 18 Jan 20
Phyton Talent Advisors
in New York, NY, United States
Permanent, Full time
Last application, 18 Jan 20
Quantitative Risk Analyst
Our client, a leading global bank with one of the largest customer bases abroad and in Asia is seeking a Quantitative Risk Analyst at their Midtown Manhattan location
  • Work with stakeholders across business and functional teams during model development process to collect internal data from the Bank's private ABS deals
  • Help integrate vendor's software with RA's technology platform
  • Create tools which can enhance and improve the quality of market and credit risk-related data
  • Perform quantitative research to implement model changes, enhancements and remediation plans
  • Conduct analysis on ABS stress testing models
  • Maintain, update and back-test risk models
  • Develop Risk Analytics platform

  • At least a bachelor's degree in quantitative subject; Masters or PhD Degree is a plus
  • Proficient programming skills in python and R (other languages such as C++, perl, C# is a plus)
  • Database expertise: SQL
  • Proficient in analyzing large, complex dataset and state of the art analytics in data science
  • Experience in mortgage /asset back securitization is a plus
Why Consider a Contract/Temp Role?
  • Get a foot in the door while evaluating your fit with an employer
  • Fill in the "gap" while you continue to look for a permanent role
  • Build your resume by developing new skills, experiences & references
  • Some companies only use professional recruiting firms to fill jobs

Visit us at www.phytontalent.com for more information.

Phyton Talent Advisors is a proud winner of the Inavero's 2017 Best of Staffing® Client Award & Named by Forbes as One of America's Best Professional Recruiting Firms

As an Equal Opportunity / Affirmative Action Employer, by choice, Phyton Talent Advisors will not discriminate in its employment practices due to an applicant's race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, physical and mental disability, criminal record, genetic information, predisposition or carrier status, status with respect to receiving public assistance, domestic violence victim status, a disabled, special, recently separated, active duty wartime, campaign badge, Armed Forces service medal veteran, or any other characteristics protected under applicable law.