Quantitative Finance Manager

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Job description

Job Description:

Bank of America has an opportunity for a Senior Quantitative Analyst on the Wholesale Credit/Operational Risk Team within the Alternative Modelling Group & Quantitative Solutions (AMG-QS) of Global Risk Analytics (GRA).
Global Risk Analytics (GRA) is a sub line of business within Global Risk Management (GRM). The GRA team provides quantitative capabilities supporting global risk management and capital management and develops a consistent set of risk and capital models and analytical tools that drive the company's technology infrastructure.
AMG-QS partners with other GRA teams to develop and deliver modeling solutions and analytical tools in order to address regulatory requirements; provides quantitative expertise for a broad range of modeling areas across the Enterprise; and builds and maintains the analytics infrastructure which supports GRA's modeling library.
The role will involve the development and enhancement of Wholesale loss forecasting models to improve risk management capability and support stress testing processes. This is a challenging and intellectually stimulating role in a dynamic team that is used to delivering in a timely manner to many different constituents of the bank.
Responsibilities:
• As an experienced quantitative analyst, you will be responsible for driving forward Wholesale loss forecasting model development work within AMG-QS
• Provide leadership in the development of new models, analytic processes or systems approaches
• Promote the adoption of GRA best practices for model development, implementation and monitoring
• Pro-actively work with AMG QS, Wholesale Risk Analytics, and the LOB to identify opportunities to improve existing models/processes
• Produce clear and coherent technical documentation for internal and regulatory purposes
• Take ownership to deliver results and meet critical deadlines
Required Skills:
• Highly numerical degree (PhD level preferred, Masters required) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics or Engineering
• 7+ years of work experience in developing, documenting & maintaining Wholesale models
• Strong technical writing and clear verbal communication skills
• Experience of working under pressure and delivering to tight deadlines
• Proven leadership abilities, working across organizational lines
• Ability to multitask and properly prioritize multiple projects
Desired Skills:
• Experience with Wholesale Credit Risk Management or/and Wholesale Credit Business
• Knowledge of regulatory guidelines and stress testing including CCAR, DFAST etc.
• Capability to provide leadership to junior quantitative analysts
• Strong stakeholder engagement skills with an ability to work with colleagues in other functions (business, risk and model validation)
• Strong programming skills
• Organized, practical and execution focused with project management experience
• Self-motivated and Intellectually curious about both the role, supporting technologies and the wider bank

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 has an opportunity for a Senior Quantitative Analyst on the Wholesale Credit/Operational Risk Team within the Alternative Modelling Group & Quantitative Solutions (AMG-QS) of Global Risk Analytics (GRA).
Global Risk Analytics (GRA) is a sub line of business within Global Risk Management (GRM). The GRA team provides quantitative capabilities supporting global risk management and capital management and develops a consistent set of risk and capital models and analytical tools that drive the company's technology infrastructure.
AMG-QS partners with other GRA teams to develop and deliver modeling solutions and analytical tools in order to address regulatory requirements; provides quantitative expertise for a broad range of modeling areas across the Enterprise; and builds and maintains the analytics infrastructure which supports GRA's modeling library.
The role will involve the development and enhancement of Wholesale loss forecasting models to improve risk management capability and support stress testing processes. This is a challenging and intellectually stimulating role in a dynamic team that is used to delivering in a timely manner to many different constituents of the bank.
Responsibilities:
• As an experienced quantitative analyst, you will be responsible for driving forward Wholesale loss forecasting model development work within AMG-QS
• Provide leadership in the development of new models, analytic processes or systems approaches
• Promote the adoption of GRA best practices for model development, implementation and monitoring
• Pro-actively work with AMG QS, Wholesale Risk Analytics, and the LOB to identify opportunities to improve existing models/processes
• Produce clear and coherent technical documentation for internal and regulatory purposes
• Take ownership to deliver results and meet critical deadlines
Required Skills:
• Highly numerical degree (PhD level preferred, Masters required) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics or Engineering
• 7+ years of work experience in developing, documenting & maintaining Wholesale models
• Strong technical writing and clear verbal communication skills
• Experience of working under pressure and delivering to tight deadlines
• Proven leadership abilities, working across organizational lines
• Ability to multitask and properly prioritize multiple projects
Desired Skills:
• Experience with Wholesale Credit Risk Management or/and Wholesale Credit Business
• Knowledge of regulatory guidelines and stress testing including CCAR, DFAST etc.
• Capability to provide leadership to junior quantitative analysts
• Strong stakeholder engagement skills with an ability to work with colleagues in other functions (business, risk and model validation)
• Strong programming skills
• Organized, practical and execution focused with project management experience
• Self-motivated and Intellectually curious about both the role, supporting technologies and the wider bank

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 has an opportunity for a Senior Quantitative Analyst on the Wholesale Credit/Operational Risk Team within the Alternative Modelling Group & Quantitative Solutions (AMG-QS) of Global Risk Analytics (GRA).
Global Risk Analytics (GRA) is a sub line of business within Global Risk Management (GRM). The GRA team provides quantitative capabilities supporting global risk management and capital management and develops a consistent set of risk and capital models and analytical tools that drive the company's technology infrastructure.
AMG-QS partners with other GRA teams to develop and deliver modeling solutions and analytical tools in order to address regulatory requirements; provides quantitative expertise for a broad range of modeling areas across the Enterprise; and builds and maintains the analytics infrastructure which supports GRA's modeling library.
The role will involve the development and enhancement of Wholesale loss forecasting models to improve risk management capability and support stress testing processes. This is a challenging and intellectually stimulating role in a dynamic team that is used to delivering in a timely manner to many different constituents of the bank.
Responsibilities:
• As an experienced quantitative analyst, you will be responsible for driving forward Wholesale loss forecasting model development work within AMG-QS
• Provide leadership in the development of new models, analytic processes or systems approaches
• Promote the adoption of GRA best practices for model development, implementation and monitoring
• Pro-actively work with AMG QS, Wholesale Risk Analytics, and the LOB to identify opportunities to improve existing models/processes
• Produce clear and coherent technical documentation for internal and regulatory purposes
• Take ownership to deliver results and meet critical deadlines
Required Skills:
• Highly numerical degree (PhD level preferred, Masters required) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics or Engineering
• 7+ years of work experience in developing, documenting & maintaining Wholesale models
• Strong technical writing and clear verbal communication skills
• Experience of working under pressure and delivering to tight deadlines
• Proven leadership abilities, working across organizational lines
• Ability to multitask and properly prioritize multiple projects
Desired Skills:
• Experience with Wholesale Credit Risk Management or/and Wholesale Credit Business
• Knowledge of regulatory guidelines and stress testing including CCAR, DFAST etc.
• Capability to provide leadership to junior quantitative analysts
• Strong stakeholder engagement skills with an ability to work with colleagues in other functions (business, risk and model validation)
• Strong programming skills
• Organized, practical and execution focused with project management experience
• Self-motivated and Intellectually curious about both the role, supporting technologies and the wider bank
Shift:
1st shift (United States of America) Hours Per Week:
40