Data Scientist I

Job Description: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 gapsCommunicate findings to model development teamsWhen required, work on champion model review and potential re-development/optimization and/or challenger model developmentTrack remediation progressLiaison with model development and model risk management teamsHands on role in tracking and advising on post deployment ongoing monitoringRequired Skills 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)Attention to detailGood communication skills.Ability to work across multiple threads.Good analytical skills to breakdown requirements and establish remediation plans.Bachelor''s Degree required (in quantitative field preferred)Preferred SkillsFamiliarity with machine learning techniques and algorithms.Experience in at least one of the following: Python, SAS, Java.Chartered Financial Analyst (CFA), Financial Risk Manager (FRM), Project Management Professional (PMP) or history of AI/ML related journal publications.Master''s Degree in Statistics, Mathematics, Data Science, Engineering, Computer Science, Economics, or related quantitative field.Required Technical Skillsets Quantitative skills applied to modellingHands 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 sectorStrong theoretical understanding behind ML/AI modelling techniques and algorithmsStatistical computer languages (Python (preferred), R SAS, etc.)Job Band:H5Shift: 1st shift (United States of America)Hours Per Week:40Weekly Schedule:Referral Bonus Amount:0 --> Job Description: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 gapsCommunicate findings to model development teamsWhen required, work on champion model review and potential re-development/optimization and/or challenger model developmentTrack remediation progressLiaison with model development and model risk management teamsHands on role in tracking and advising on post deployment ongoing monitoringRequired Skills 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)Attention to detailGood communication skills.Ability to work across multiple threads.Good analytical skills to breakdown requirements and establish remediation plans.Bachelor''s Degree required (in quantitative field preferred)Preferred SkillsFamiliarity with machine learning techniques and algorithms.Experience in at least one of the following: Python, SAS, Java.Chartered Financial Analyst (CFA), Financial Risk Manager (FRM), Project Management Professional (PMP) or history of AI/ML related journal publications.Master''s Degree in Statistics, Mathematics, Data Science, Engineering, Computer Science, Economics, or related quantitative field.Required Technical Skillsets Quantitative skills applied to modellingHands 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 sectorStrong theoretical understanding behind ML/AI modelling techniques and algorithmsStatistical computer languages (Python (preferred), R SAS, etc.)Job Band:H5Shift: 1st shift (United States of America)Hours Per Week:40Weekly Schedule:Referral Bonus Amount:0 Job Description: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 gapsCommunicate findings to model development teamsWhen required, work on champion model review and potential re-development/optimization and/or challenger model developmentTrack remediation progressLiaison with model development and model risk management teamsHands on role in tracking and advising on post deployment ongoing monitoringRequired Skills 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)Attention to detailGood communication skills.Ability to work across multiple threads.Good analytical skills to breakdown requirements and establish remediation plans.Bachelor''s Degree required (in quantitative field preferred)Preferred SkillsFamiliarity with machine learning techniques and algorithms.Experience in at least one of the following: Python, SAS, Java.Chartered Financial Analyst (CFA), Financial Risk Manager (FRM), Project Management Professional (PMP) or history of AI/ML related journal publications.Master''s Degree in Statistics, Mathematics, Data Science, Engineering, Computer Science, Economics, or related quantitative field.Required Technical Skillsets Quantitative skills applied to modellingHands 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 sectorStrong theoretical understanding behind ML/AI modelling techniques and algorithmsStatistical computer languages (Python (preferred), R SAS, etc.)Shift:1st shift (United States of America)Hours Per Week: 40

Created: 2021-11-29