Where

Quantitative Financial Analyst

Bank of America
Charlotte Full-day Full-time

Description:

Job Description:

Job Description:
Global Risk Analytics (GRA) is part of Global Risk Management at Bank of America. GRA is responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across the company. As a Quantitative Finance Analyst in Enterprise Risk Analytics (ERA), a team within GRA, you will be responsible for the development of cross-business holistic analytical models and tools, including those used by Global Financial Crimes and Enterprise Fair Lending to counter money laundering/terrorist financing and comply with economic sanctions and fair lending regulations. You will be part of a dynamic environment that offers broad-ranging opportunities to deliver leading edge capabilities and drive change across the whole of the company.

Primary Responsibilities:
Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
Understanding and executing activities that form the end-to-end model development and use life cycle
Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology


Required Skills:
Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)
2+ years of experience in model development, statistical work, data analytics or quantitative research, or PhD
Strong programming skills in SAS, SQL, R or Python


Desired Skills:
Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences
Experience with large data sets
Effective at prioritization/time and project management
Broad understanding of financial products

Job Band:

H5

Shift:

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0 -->

Job Description:

Job Description:
Global Risk Analytics (GRA) is part of Global Risk Management at Bank of America. GRA is responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across the company. As a Quantitative Finance Analyst in Enterprise Risk Analytics (ERA), a team within GRA, you will be responsible for the development of cross-business holistic analytical models and tools, including those used by Global Financial Crimes and Enterprise Fair Lending to counter money laundering/terrorist financing and comply with economic sanctions and fair lending regulations. You will be part of a dynamic environment that offers broad-ranging opportunities to deliver leading edge capabilities and drive change across the whole of the company.

Primary Responsibilities:
Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
Understanding and executing activities that form the end-to-end model development and use life cycle
Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology


Required Skills:
Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)
2+ years of experience in model development, statistical work, data analytics or quantitative research, or PhD
Strong programming skills in SAS, SQL, R or Python


Desired Skills:
Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences
Experience with large data sets
Effective at prioritization/time and project management
Broad understanding of financial products

Job Band:

H5

Shift:

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:
Job Description:
Global Risk Analytics (GRA) is part of Global Risk Management at Bank of America. GRA is responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across the company. As a Quantitative Finance Analyst in Enterprise Risk Analytics (ERA), a team within GRA, you will be responsible for the development of cross-business holistic analytical models and tools, including those used by Global Financial Crimes and Enterprise Fair Lending to counter money laundering/terrorist financing and comply with economic sanctions and fair lending regulations. You will be part of a dynamic environment that offers broad-ranging opportunities to deliver leading edge capabilities and drive change across the whole of the company.

Primary Responsibilities:
Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
Understanding and executing activities that form the end-to-end model development and use life cycle
Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology


Required Skills:
Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)
2+ years of experience in model development, statistical work, data analytics or quantitative research, or PhD
Strong programming skills in SAS, SQL, R or Python


Desired Skills:
Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences
Experience with large data sets
Effective at prioritization/time and project management
Broad understanding of financial products
Shift:

1st shift (United States of America)

Hours Per Week:

40
Oct 11, 2021;   from: careerbuilder.com

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