girl looking into her desktop
Back to search results

Data Scientist II

Charlotte, North Carolina;

Job Description:

Position Summary

Candidate will assist model development groups with review and remediation of model development documentation prior to validation submission. - Review model development documentation, identify gaps against the current model development required standards, and determine action items to remediate gaps. - Communicate findings to model development teams. - When required, work on champion model review and potential re-development/optimization and/or challenger model development - Track remediation progress. - Liaison with model development and model risk management teams. - Hands on role in tracking and advising on post deployment ongoing monitoring

Required Skills

- 5+ years of hands on model risk management or banking model development experience (required). - Familiarity with model risk management standards and regulation (e.g., SR 11-7) (required). - Attention to detail (required). - Good communication skills (required). - Ability to work across multiple threads (required). - Good analytical skills to breakdown requirements and establish remediation plans (required). - Familiarity with machine learning techniques and algorithms (preferred). - Experience in at least one of the following: Python, SAS, Java (preferred).

Desired Skills

- Quantitative skills applied to modelling - Hands on experience with using machine learning techniques and algorithms and getting them to production (statistical models, ensemble and deep learning models). - Previous data science related work experience and domain expertise within the banking/financial sector - Strong theoretical understanding behind ML/AI modelling techniques and algorithms - Statistical computer languages (Python (preferred), R SAS, etc.)

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Position Summary

Candidate will assist model development groups with review and remediation of model development documentation prior to validation submission. - Review model development documentation, identify gaps against the current model development required standards, and determine action items to remediate gaps. - Communicate findings to model development teams. - When required, work on champion model review and potential re-development/optimization and/or challenger model development - Track remediation progress. - Liaison with model development and model risk management teams. - Hands on role in tracking and advising on post deployment ongoing monitoring

Required Skills

- 5+ years of hands on model risk management or banking model development experience (required). - Familiarity with model risk management standards and regulation (e.g., SR 11-7) (required). - Attention to detail (required). - Good communication skills (required). - Ability to work across multiple threads (required). - Good analytical skills to breakdown requirements and establish remediation plans (required). - Familiarity with machine learning techniques and algorithms (preferred). - Experience in at least one of the following: Python, SAS, Java (preferred).

Desired Skills

- Quantitative skills applied to modelling - Hands on experience with using machine learning techniques and algorithms and getting them to production (statistical models, ensemble and deep learning models). - Previous data science related work experience and domain expertise within the banking/financial sector - Strong theoretical understanding behind ML/AI modelling techniques and algorithms - Statistical computer languages (Python (preferred), R SAS, etc.)

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21061266

Band: H4

Manages People: No

Travel: Yes, 5% of the time

Manager:

Talent Acquisition Contact:

Jami Britt

Referral Bonus:

0