Sr. Quantitative Financial Analyst

at Bank of America
Location Charlotte, NC
Date Posted December 8, 2021
Category Default
Job Type Full-time

Description

Job Description:

The Artificial Intelligence (AI) Risk Analyst will be responsible for assessing AI (Artificial Intelligence) solutions implemented across the bank (built internally or externally) to support validation teams as they evaluate AI-related risks and mitigating controls. Assists in evaluating AI model submissions during Tollgate and Risk Assessment stages; critically assesses and challenges AI models following a structured, proprietary risk framework. Successful candidates will demonstrate strategic thinking and be able to describe potential interactions between AI models and the external environment.  In addition, the candidate must be able to succinctly articulate their rationale for positions taken; exchange clear, actionable feedback in a team environment; and communicate with impact.

The position will be responsible for:
•    Understanding the core methodology in AI models and the business context in which it will be deployed.
•    Critically reviewing risk assessment content submitted by Front Line Units. Providing challenge as required to maintain consistency of risk analysis and quality of documentation across all models.
•    Communicating and working with relevant model validation teams and their corresponding Front Line Units; and if needed, communicating and interacting with the third line of defense (e.g. internal audit).
•    Delivering consistent, high quality work product while managing dynamic task load in a fast-paced environment.
 

Required skills:
The successful candidate should meet the following requirements:
•    At least 5 years of work experience at a large financial services firm or top tier consulting firm in model development and/or model validation and governance.
•    Ph.D. or Masters in mathematics, statistics, computer science, and/or engineering, or possess equivalent training and experience, with strong quantitative skills. 
•    CFA/FRM credentials would be a plus.
•    Familiar with AI techniques and machine learning platforms/software (e.g., Python / sklearn, XGBoost, and R), algorithms, and techniques; and proficient in at least one of the following languages and statistical packages: SAS, R, and Python.
•    Sound knowledge of financial instruments, banking products and financial risk/operational risk management principles is required.
•    Strong knowledge of financial, mathematical and statistical theories and practices, and a demonstrated understanding of the modeling process, model performance measures, and model risk.
•    Outstanding written and verbal communication skills

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

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Job Description:

The Artificial Intelligence (AI) Risk Analyst will be responsible for assessing AI (Artificial Intelligence) solutions implemented across the bank (built internally or externally) to support validation teams as they evaluate AI-related risks and mitigating controls. Assists in evaluating AI model submissions during Tollgate and Risk Assessment stages; critically assesses and challenges AI models following a structured, proprietary risk framework. Successful candidates will demonstrate strategic thinking and be able to describe potential interactions between AI models and the external environment.  In addition, the candidate must be able to succinctly articulate their rationale for positions taken; exchange clear, actionable feedback in a team environment; and communicate with impact.

The position will be responsible for:
•    Understanding the core methodology in AI models and the business context in which it will be deployed.
•    Critically reviewing risk assessment content submitted by Front Line Units. Providing challenge as required to maintain consistency of risk analysis and quality of documentation across all models.
•    Communicating and working with relevant model validation teams and their corresponding Front Line Units; and if needed, communicating and interacting with the third line of defense (e.g. internal audit).
•    Delivering consistent, high quality work product while managing dynamic task load in a fast-paced environment.
 

Required skills:
The successful candidate should meet the following requirements:
•    At least 5 years of work experience at a large financial services firm or top tier consulting firm in model development and/or model validation and governance.
•    Ph.D. or Masters in mathematics, statistics, computer science, and/or engineering, or possess equivalent training and experience, with strong quantitative skills. 
•    CFA/FRM credentials would be a plus.
•    Familiar with AI techniques and machine learning platforms/software (e.g., Python / sklearn, XGBoost, and R), algorithms, and techniques; and proficient in at least one of the following languages and statistical packages: SAS, R, and Python.
•    Sound knowledge of financial instruments, banking products and financial risk/operational risk management principles is required.
•    Strong knowledge of financial, mathematical and statistical theories and practices, and a demonstrated understanding of the modeling process, model performance measures, and model risk.
•    Outstanding written and verbal communication skills

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:
The Artificial Intelligence (AI) Risk Analyst will be responsible for assessing AI (Artificial Intelligence) solutions implemented across the bank (built internally or externally) to support validation teams as they evaluate AI-related risks and mitigating controls. Assists in evaluating AI model submissions during Tollgate and Risk Assessment stages; critically assesses and challenges AI models following a structured, proprietary risk framework. Successful candidates will demonstrate strategic thinking and be able to describe potential interactions between AI models and the external environment.  In addition, the candidate must be able to succinctly articulate their rationale for positions taken; exchange clear, actionable feedback in a team environment; and communicate with impact.

The position will be responsible for:
•    Understanding the core methodology in AI models and the business context in which it will be deployed.
•    Critically reviewing risk assessment content submitted by Front Line Units. Providing challenge as required to maintain consistency of risk analysis and quality of documentation across all models.
•    Communicating and working with relevant model validation teams and their corresponding Front Line Units; and if needed, communicating and interacting with the third line of defense (e.g. internal audit).
•    Delivering consistent, high quality work product while managing dynamic task load in a fast-paced environment.
 

Required skills:
The successful candidate should meet the following requirements:
•    At least 5 years of work experience at a large financial services firm or top tier consulting firm in model development and/or model validation and governance.
•    Ph.D. or Masters in mathematics, statistics, computer science, and/or engineering, or possess equivalent training and experience, with strong quantitative skills. 
•    CFA/FRM credentials would be a plus.
•    Familiar with AI techniques and machine learning platforms/software (e.g., Python / sklearn, XGBoost, and R), algorithms, and techniques; and proficient in at least one of the following languages and statistical packages: SAS, R, and Python.
•    Sound knowledge of financial instruments, banking products and financial risk/operational risk management principles is required.
•    Strong knowledge of financial, mathematical and statistical theories and practices, and a demonstrated understanding of the modeling process, model performance measures, and model risk.
•    Outstanding written and verbal communication skills
Shift:

1st shift (United States of America)

Hours Per Week: 

40