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Risk Analyst Specialist III

Charlotte, North Carolina;

Job Description:

Position is on the Capital and Advanced Analytics team within Operational Risk Strategy in Global Compliance and Operational Risk (GCOR). The Risk Analysis Specialist III is responsible for leading data management, complex analysis, and modeling that aims to minimize operational and compliance risk events and losses. The position leads and coordinates the production of analytics and reporting output for senior management and assists with the data design and analysis for portfolio trends, emerging risk identification, risk appetite and key risk indicator metric calibration, and other ad hoc deliverables around internal and external operational loss event history. The role partners across GCOR and business units in order to integrate the analytics team and ensure alignment of analyses with business strategies and objectives. 

Activities this role performs may include, but are not limited to:

•    Identify and support operational risk analytics through coordination with risk and business partners
•    Quantify leading indicators and assess correlations with future operational and compliance risk losses and events
•    Assist with setting appropriate metrics and limits that are forward looking and tied to the Risk ID framework
•    Support the annual risk appetite setting process, working with other GCOR and FLU partners to calibrate existing metrics or assist in researching and developing new metrics
•    Provide support and analysis for ad hoc or emerging risks in the operational and compliance risk space
•    Develop tools and analytics that Risk Officers and FLUs can use to in their day-to-day risk management routines
•    Assist with the development of proof of concepts using machine learning and artificial intelligence (AI)
•    Provide support for loss forecasting and stress testing deliverables, including assessing historical data, analyzing macro-economic variables and relationships, and preparing presentation materials for senior level committees
•    Assist in the execution of Operational Risk Capital requirements through data analysis, benchmarking, and policy/procedures updates
•    Work with quantitative modelers across Global Risk Analytics, Enterprise Capital Management and the Chief Data Science Office in the use of model development data and model output
•    Assist with interactions with audit and regulators (in coordination with Exam Management) for inquiries regarding the metrics program, loss forecasting, and operational risk capital

Requires relevant degree and experience programming, developing and maintaining large, complex databases and data sets and using data mining and other advanced analytical techniques to aggregate data.

Required Skills and Experience:
•    Business/Finance/Statistics/Mathematics or other related undergraduate degree
•    5+ years working with data analysis and large data sets
•    Experience in financial or risk reporting with business knowledge of risk-related metrics
•    Proven ability to transition between individual contributions and leading others working through projects and delivering on a common goal
•    Project management skills with the ability to prioritize tasks, meet deadlines, and achieve goals in driving change
•    Strong written and oral communication skills, with ability to communicate with both technical and executive audiences
•    High proficiency with Excel, Power Point and SQL

Desired Skills and Experience:

•    Knowledge of operational and compliance risks, root causes, and mitigation strategies
•    Knowledge of Basel rules and associated capital requirements
•    Experience with programming and familiarity with Python/R and machine learning/artificial intelligence
•    Experience with leading, supporting, building, and automating visual data analytics through platforms such as Tableau

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Position is on the Capital and Advanced Analytics team within Operational Risk Strategy in Global Compliance and Operational Risk (GCOR). The Risk Analysis Specialist III is responsible for leading data management, complex analysis, and modeling that aims to minimize operational and compliance risk events and losses. The position leads and coordinates the production of analytics and reporting output for senior management and assists with the data design and analysis for portfolio trends, emerging risk identification, risk appetite and key risk indicator metric calibration, and other ad hoc deliverables around internal and external operational loss event history. The role partners across GCOR and business units in order to integrate the analytics team and ensure alignment of analyses with business strategies and objectives. 

Activities this role performs may include, but are not limited to:

•    Identify and support operational risk analytics through coordination with risk and business partners
•    Quantify leading indicators and assess correlations with future operational and compliance risk losses and events
•    Assist with setting appropriate metrics and limits that are forward looking and tied to the Risk ID framework
•    Support the annual risk appetite setting process, working with other GCOR and FLU partners to calibrate existing metrics or assist in researching and developing new metrics
•    Provide support and analysis for ad hoc or emerging risks in the operational and compliance risk space
•    Develop tools and analytics that Risk Officers and FLUs can use to in their day-to-day risk management routines
•    Assist with the development of proof of concepts using machine learning and artificial intelligence (AI)
•    Provide support for loss forecasting and stress testing deliverables, including assessing historical data, analyzing macro-economic variables and relationships, and preparing presentation materials for senior level committees
•    Assist in the execution of Operational Risk Capital requirements through data analysis, benchmarking, and policy/procedures updates
•    Work with quantitative modelers across Global Risk Analytics, Enterprise Capital Management and the Chief Data Science Office in the use of model development data and model output
•    Assist with interactions with audit and regulators (in coordination with Exam Management) for inquiries regarding the metrics program, loss forecasting, and operational risk capital

Requires relevant degree and experience programming, developing and maintaining large, complex databases and data sets and using data mining and other advanced analytical techniques to aggregate data.

Required Skills and Experience:
•    Business/Finance/Statistics/Mathematics or other related undergraduate degree
•    5+ years working with data analysis and large data sets
•    Experience in financial or risk reporting with business knowledge of risk-related metrics
•    Proven ability to transition between individual contributions and leading others working through projects and delivering on a common goal
•    Project management skills with the ability to prioritize tasks, meet deadlines, and achieve goals in driving change
•    Strong written and oral communication skills, with ability to communicate with both technical and executive audiences
•    High proficiency with Excel, Power Point and SQL

Desired Skills and Experience:

•    Knowledge of operational and compliance risks, root causes, and mitigation strategies
•    Knowledge of Basel rules and associated capital requirements
•    Experience with programming and familiarity with Python/R and machine learning/artificial intelligence
•    Experience with leading, supporting, building, and automating visual data analytics through platforms such as Tableau

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-22088284

Band: H4

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Janette Flowers

Referral Bonus:

0