Technical Risk Analysts Specialist II

Job Description:Enterprise Risk Analytics develops and maintains a portfolio of models used by the bank''s automated anti-money laundering detection and monitoring platforms. The team performs annual performance assessments on other analytical tools and systems used by teams across Global Financial Crimes Compliance. For this position the associate will be responsible for sourcing, integrating, cleansing and validating structured and unstructured data from large diverse data sources. The associate will execute feature engineering in support of model development and support model documentation and model deployment activities. The candidate will have the opportunity to learn the latest developments in AML/Economic Sanctions, interact with industry-leading subject matter experts, apply an extensive set of data analytics/data science methods to meet business and regulatory requirements, and develop a career in this fast-paced and ever-changing world. This role demands a highly diverse skillset, including quantitative, analytical, organizational, communication, and technical capabilitiesAs a Technical Risk Analysis Specialist II your main responsibilities will involve:Perform in-depth data analysis on diverse large data using a variety quantitative toolsProvide holistic data assessment using basic statistics, data artifacts, ad-hoc analysis and data visualizationProvide written and verbal communication to quantitative, technical and business stakeholdersIdentify and recommend improvements to data analytics, data quality and feature engineeringPosition OverviewResponsible for independently conducting data analysis in support of model development projects. Assist other Quantitative Financial Analysts (QFA) to source, integrate, validate and engineer data for model development. Responsible for documentation for all data activities. Work with Technology staff in design systems that consistently process and prepare data for model execution.Required SkillsExperience programming skills in both SQL and PythonProfessional experience wrangling large datasetsExperience with Hadoop and Teradata systemsKnowledge of basic statistics, data analytics, feature engineering, data visualization and quality assuranceStrong technical writing, communication, and presentation skillsAbility to multitask and work under pressure to meet timelinesUndergraduate STEM degree withy 2+ years of experience working in data analytics/science or a Masters STEM degreeDesired Skills:Understanding of current modeling and data science principals including but not limited to time-series analysis, machine learning, and deep learningExperience with the entire software development lifecycle (SDLC) including maintaining and improving existing codebases and peer review changesAbility to effectively communicate technical/quantitative topics to non-technical audiencesProfessional experience with the software /tools including: Tableau, JIRA, Bitbucket, Confluence, LaTexGood applied statistics skills, such as distributions, statistical testing, feature engineeringUnderstanding of machine learning techniques able to demonstrate basic understanding of algorithmsJob Band:H5Shift: 1st shift (United States of America)Hours Per Week:40Weekly Schedule:Referral Bonus Amount:0 --> Job Description:Enterprise Risk Analytics develops and maintains a portfolio of models used by the bank''s automated anti-money laundering detection and monitoring platforms. The team performs annual performance assessments on other analytical tools and systems used by teams across Global Financial Crimes Compliance. For this position the associate will be responsible for sourcing, integrating, cleansing and validating structured and unstructured data from large diverse data sources. The associate will execute feature engineering in support of model development and support model documentation and model deployment activities. The candidate will have the opportunity to learn the latest developments in AML/Economic Sanctions, interact with industry-leading subject matter experts, apply an extensive set of data analytics/data science methods to meet business and regulatory requirements, and develop a career in this fast-paced and ever-changing world. This role demands a highly diverse skillset, including quantitative, analytical, organizational, communication, and technical capabilitiesAs a Technical Risk Analysis Specialist II your main responsibilities will involve:Perform in-depth data analysis on diverse large data using a variety quantitative toolsProvide holistic data assessment using basic statistics, data artifacts, ad-hoc analysis and data visualizationProvide written and verbal communication to quantitative, technical and business stakeholdersIdentify and recommend improvements to data analytics, data quality and feature engineeringPosition OverviewResponsible for independently conducting data analysis in support of model development projects. Assist other Quantitative Financial Analysts (QFA) to source, integrate, validate and engineer data for model development. Responsible for documentation for all data activities. Work with Technology staff in design systems that consistently process and prepare data for model execution.Required SkillsExperience programming skills in both SQL and PythonProfessional experience wrangling large datasetsExperience with Hadoop and Teradata systemsKnowledge of basic statistics, data analytics, feature engineering, data visualization and quality assuranceStrong technical writing, communication, and presentation skillsAbility to multitask and work under pressure to meet timelinesUndergraduate STEM degree withy 2+ years of experience working in data analytics/science or a Masters STEM degreeDesired Skills:Understanding of current modeling and data science principals including but not limited to time-series analysis, machine learning, and deep learningExperience with the entire software development lifecycle (SDLC) including maintaining and improving existing codebases and peer review changesAbility to effectively communicate technical/quantitative topics to non-technical audiencesProfessional experience with the software /tools including: Tableau, JIRA, Bitbucket, Confluence, LaTexGood applied statistics skills, such as distributions, statistical testing, feature engineeringUnderstanding of machine learning techniques able to demonstrate basic understanding of algorithmsJob Band:H5Shift: 1st shift (United States of America)Hours Per Week:40Weekly Schedule:Referral Bonus Amount:0 Job Description:Enterprise Risk Analytics develops and maintains a portfolio of models used by the bank''s automated anti-money laundering detection and monitoring platforms. The team performs annual performance assessments on other analytical tools and systems used by teams across Global Financial Crimes Compliance. For this position the associate will be responsible for sourcing, integrating, cleansing and validating structured and unstructured data from large diverse data sources. The associate will execute feature engineering in support of model development and support model documentation and model deployment activities. The candidate will have the opportunity to learn the latest developments in AML/Economic Sanctions, interact with industry-leading subject matter experts, apply an extensive set of data analytics/data science methods to meet business and regulatory requirements, and develop a career in this fast-paced and ever-changing world. This role demands a highly diverse skillset, including quantitative, analytical, organizational, communication, and technical capabilitiesAs a Technical Risk Analysis Specialist II your main responsibilities will involve:Perform in-depth data analysis on diverse large data using a variety quantitative toolsProvide holistic data assessment using basic statistics, data artifacts, ad-hoc analysis and data visualizationProvide written and verbal communication to quantitative, technical and business stakeholdersIdentify and recommend improvements to data analytics, data quality and feature engineeringPosition OverviewResponsible for independently conducting data analysis in support of model development projects. Assist other Quantitative Financial Analysts (QFA) to source, integrate, validate and engineer data for model development. Responsible for documentation for all data activities. Work with Technology staff in design systems that consistently process and prepare data for model execution.Required SkillsExperience programming skills in both SQL and PythonProfessional experience wrangling large datasetsExperience with Hadoop and Teradata systemsKnowledge of basic statistics, data analytics, feature engineering, data visualization and quality assuranceStrong technical writing, communication, and presentation skillsAbility to multitask and work under pressure to meet timelinesUndergraduate STEM degree withy 2+ years of experience working in data analytics/science or a Masters STEM degreeDesired Skills:Understanding of current modeling and data science principals including but not limited to time-series analysis, machine learning, and deep learningExperience with the entire software development lifecycle (SDLC) including maintaining and improving existing codebases and peer review changesAbility to effectively communicate technical/quantitative topics to non-technical audiencesProfessional experience with the software /tools including: Tableau, JIRA, Bitbucket, Confluence, LaTexGood applied statistics skills, such as distributions, statistical testing, feature engineeringUnderstanding of machine learning techniques able to demonstrate basic understanding of algorithmsShift:1st shift (United States of America)Hours Per Week: 40

Created: 2021-11-29