Data Scientist II Model Dev Consultant

Bank of America
Published
January 10, 2022
Location
San Francisco, CA
Category
Job Type

Description

Job Description:

Bank of America is seeking a Data Scientist to join our Global Risk Analytics team within the Chief Data Science Organization. The selected 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 & Experience

  • Master's Degree in Statistics, Mathematics, Data Science, Engineering, Computer Science, Economics, or or related quantitative field

  • 5+ years of hands on model risk management or banking model development experience

  • Familiarity with model risk management standards and regulation (e.g., SR 11-7)

  • Previous data science related work experience and domain expertise within the banking/financial sector

  • Attention to detail

  • Good communication skills

  • Ability to work across multiple threads

  • Good analytical skills to breakdown requirements and establish remediation plans

  • Experience in at least one of the following: Python, SAS, Java

  • 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)

Desired Skills & Experience

  • Familiarity with machine learning techniques and statistics, algorithms

  • Chartered Financial Analyst (CFA), Financial Risk Manager (FRM), Project Management Professional (PMP) or history of AI/ML related journal publication

  • Statistical computer languages (Python, R SAS, etc.)

  • Strong theoretical understanding behind ML/AI modelling techniques and algorithms

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

-->

Job Description:

Bank of America is seeking a Data Scientist to join our Global Risk Analytics team within the Chief Data Science Organization. The selected 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 & Experience

  • Master's Degree in Statistics, Mathematics, Data Science, Engineering, Computer Science, Economics, or or related quantitative field

  • 5+ years of hands on model risk management or banking model development experience

  • Familiarity with model risk management standards and regulation (e.g., SR 11-7)

  • Previous data science related work experience and domain expertise within the banking/financial sector

  • Attention to detail

  • Good communication skills

  • Ability to work across multiple threads

  • Good analytical skills to breakdown requirements and establish remediation plans

  • Experience in at least one of the following: Python, SAS, Java

  • 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)

Desired Skills & Experience

  • Familiarity with machine learning techniques and statistics, algorithms

  • Chartered Financial Analyst (CFA), Financial Risk Manager (FRM), Project Management Professional (PMP) or history of AI/ML related journal publication

  • Statistical computer languages (Python, R SAS, etc.)

  • Strong theoretical understanding behind ML/AI modelling techniques and algorithms

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:
Bank of America is seeking a Data Scientist to join our Global Risk Analytics team within the Chief Data Science Organization. The selected 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 & Experience

  • Master's Degree in Statistics, Mathematics, Data Science, Engineering, Computer Science, Economics, or or related quantitative field

  • 5+ years of hands on model risk management or banking model development experience

  • Familiarity with model risk management standards and regulation (e.g., SR 11-7)

  • Previous data science related work experience and domain expertise within the banking/financial sector

  • Attention to detail

  • Good communication skills

  • Ability to work across multiple threads

  • Good analytical skills to breakdown requirements and establish remediation plans

  • Experience in at least one of the following: Python, SAS, Java

  • 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)

Desired Skills & Experience

  • Familiarity with machine learning techniques and statistics, algorithms

  • Chartered Financial Analyst (CFA), Financial Risk Manager (FRM), Project Management Professional (PMP) or history of AI/ML related journal publication

  • Statistical computer languages (Python, R SAS, etc.)

  • Strong theoretical understanding behind ML/AI modelling techniques and algorithms

Shift:

1st shift (United States of America)

Hours Per Week: 

40

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