Quantitative Model Validator

Compunnel, Inc.; Washington; On-site; USD 90,000 - 110,000; Full time

Job summary

A financial services company based in Washington is seeking a highly skilled Model Validator to test and validate financial models. Candidates should have strong technical proficiency in Python, SAS, and R, as well as excellent communication skills. Key responsibilities include validating model requirements and collaborating with cross-functional teams. This role offers a dynamic environment requiring flexibility in working with various data formats and model structures.

Qualifications

• Strong technical proficiency in Python, SAS, and R.
• Experience working with diverse data formats including flat files, structured, and unstructured data.
• Ability to adapt to different testing tools depending on the model.

Responsibilities

• Validate model requirements against business specifications.
• Document modeling application functionality in clear business terms.
• Build and maintain a comprehensive test suite for validating component models across release cycles.
• Work with various financial model components to ensure accuracy and reliability.
• Collaborate with cross-functional teams to lead discussions and present findings.

Skills

Model Validation

Quantitative Modeling

Communication Skills

Python

SAS

R

Job description

We are seeking a highly skilled Model Validator with strong quantitative modeling expertise and excellent communication skills. This role focuses on testing and validating financial models to ensure accuracy, reliability, and alignment with business requirements. The ideal candidate will be flexible in working with manual data inputs and varying model structures, and capable of presenting technical findings to non-technical stakeholders.

Key Responsibilities:

• Validate model requirements against business specifications
• Document modeling application functionality in clear business terms
• Build and maintain a comprehensive test suite for validating component models across release cycles
• Work with various financial model components to ensure accuracy and reliability
• Collaborate with cross-functional teams to lead discussions and present findings

Required Qualifications:

• Strong technical proficiency in Python, SAS, and R
• Experience working with diverse data formats including flat files, structured, and unstructured data
• Ability to adapt to different testing tools depending on the model
• Excellent written and verbal communication skills
• Proven ability to lead conversations and present technical findings to non-technical stakeholders

Preferred Qualifications:

• Experience in model validation within financial services or regulated industries
• Familiarity with risk modeling, forecasting, or regulatory compliance frameworks