JOB DESCRIPTION

Job #: 461
Title: Sr. Quantitative Analyst - Model Risk
Job Location: Cincinnati, Ohio - United States
Employment Type: Full Time / Direct Hire
Salary: $90,000.00 - $140,000.00 - US Dollars - Yearly
Other Compensation: Bonus and Equity
Employer Will Recruit From: Nationwide
Relocation Paid?: Yes

WHY IS THIS A GREAT OPPORTUNITY?


[None Listed]

JOB DESCRIPTION

Sr. Quantitative Analyst - Model Risk

Responsible f or providing support to the continuous development of a sound and robust framework of  Model Risk Management  within the Bancorp.
Key responsibilities include, but not limited to, Independently perform comprehensive model validation document, validation analyses/findings, and recommend model  issues/observations based on validation findings.

ESSENTIAL DUTIES & RESPONSIBILITIES:

-Model Validation
-Independently perform model validation in accordance to Model Risk
-Management policy and procedure
-Assess the soundness of model inputs, assumptions, methodology  and conceptual framework.
-Design and conduct outcome analysis to evaluate model performance.
-Identify model risks, limitations and propose potential model issues or recommendations based on findings.
-Present test results, validation findings, and overall model risk assessment to management.
-Work with model owners to develop a robust ongoing monitor system to effectively mitigate model risks.
-Coordinate w it h Model Governance analyst to address any outstanding issues.
-General Model Risk Management
-Keep abreast of industry best  practice standards for model validation.
-Serve as point of contact for Line of Business audits and regulatory examinations of model validations.
-Coach, mentor, and develop junior validators.

Qualifications:

-Ph. D. in quantitative field (i.e.  Statistics, math, physics, finance et c.) preferred.
Master's degree in quantitative fields from top universitieswill also be considered.
 -CFA or FRM preferred.
-Minimum of 5 years’ experience in financial industry, ideally in model development or model validation area.
-Strong quantitative skills and know ledge of statistical analytic methods.
-Hands-on programming experience on SA S, M at lab, VBA, or other programming software.
-Ability to develop constructive recommendations based on validation findings.
-Ability to work on multiple project s concurrently to meet tight  deadlines.

PREFERRED EXPERIENCES:

-QRM
-A D& Co
-Adaptiv
-Findur
-BlackRock Solutions
-RiskCalc
-Kiodex
-Wall Street System
-Moody' s Analytics
-Bloomberg

QUALIFICATIONS

Education:
University - PhD

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