Senior Quantitative Model Development Analyst- Fraud Job Phoenix area,Arizona USA,Finance & Banking

Please review the following job description:

Responsible for model development activities associated with internally developed and vendor developed statistical and machine learning fraud models. Assess and mitigate model risk while partnering with model stakeholders to ensure all details of fraud models are properly documented, tested, and evidenced. Participate in model reviews, analysis of model performance, development of models and ongoing monitoring plans, ongoing monitoring evaluations, and validation responses related to fraud models.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

Conduct specific aspects of the model development life cycle. The model development life cycle includes data acquisition, assessing data integrity, model development, documentation, implementation assistance and assisting with closing assurance provider issue related to the model.

Evaluate, develop and maintain monitoring, performance reporting, and change-management processes. Work with stakeholders to ensure models fulfill the business objectives set for them.

Ensure assigned parts of model development projects and processes comply with Truist requirements for model risk management and other policy requirements.

Request or assist with mentoring and training to accelerate model development in areas of techniques, process and business knowledge.

Assist with user understanding and acceptance of models and associate analytics, including written and verbal presentations to model users, stakeholders, managers and oversight groups.

Address model questions from partners within the firm as needed, including assurance providers.

Assist with identifying, recruiting, and maintaining, quantitative talent.

QUALIFICATIONS

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Two or more years of relevant experience in best practices, or equivalent financial industry experience developing, documenting, implementing, or validating quantitative models using SAS or other applicable model development software/programming tools

Strong English communication skills, both written and verbal

Ability to distill complex mathematical concepts into actionable results

Strong work ethic; promote and conduct continued development of personal and associate knowledge base and technical skills

Organization skills:
Ability to communicate and manage competing organizational priorities effectively

Problem solving skills:
Strong problem solving skills

Education:

Advanced degree or equivalent experience in Statistics, Econometrics, Operations Research, Actuarial Science, Applied Mathematics, or other applied quantitative science, or equivalent education and related training

Preferred Qualifications:

Master’s degree/PhD in a quantitative field

Fraud model development experience

Experience working with model risk management

Experience with Python or R

Relevant professional designation(s)

Experience in risk management

Knowledge/experience of current best practices in fraud model risk management or fraud management

Regular or Temporary:

Regular

Language Fluency:
English (Required)

Work Shift:

1st shift (United States of America)
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:

medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates
Teammates also receive no less than…