Artificial Intelligence and Machine Learning Technical Risk Principal Associate, ES Risk
Are you passionate about the intersection of technology and risk management? Do you have a strong understanding of Artificial Intelligence and Machine Learning concepts and frameworks? Are you looking for a role that allows you to drive innovation and mitigate potential risks in a dynamic and rapidly evolving industry? Look no further, as Capital One is seeking a highly skilled and dedicated individual to join our team as an Artificial Intelligence and Machine Learning Technical Risk Principal Associate, ES Risk. In this role, you will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals to develop and implement risk management strategies. If you have a strong technical background and a passion for staying ahead of the curve in the ever-changing landscape of AI and ML, we want to hear from you.
- Develop and implement risk management strategies that address potential risks associated with Artificial Intelligence and Machine Learning technologies.
- Collaborate with cross-functional teams to understand business needs and identify potential risks related to AI and ML.
- Stay current with industry developments and advancements in AI and ML to proactively identify potential risks and develop mitigation strategies.
- Conduct risk assessments and provide recommendations on risk management strategies to senior leadership.
- Develop and maintain relationships with external partners and vendors to ensure compliance with AI and ML risk management standards.
- Monitor and analyze data to identify potential risks and trends related to AI and ML.
- Communicate complex technical concepts and risks to non-technical stakeholders.
- Participate in the development and implementation of AI and ML governance policies and procedures.
- Lead and contribute to projects related to AI and ML risk management, including conducting research, creating presentations, and providing technical guidance.
- Collaborate with other risk management teams to ensure consistent and effective risk management practices across the organization.
- Continuously evaluate and improve risk management processes and procedures related to AI and ML.
- Mentor and provide guidance to junior team members on technical risk management best practices.
- Represent the company at industry events and conferences to stay informed on the latest developments in AI and ML risk management.
- Adhere to all relevant compliance and regulatory requirements related to AI and ML risk management.
Strong Technical Background In Artificial Intelligence And Machine Learning: The Ideal Candidate Should Possess A Deep Understanding Of Ai And Ml Concepts, Algorithms, And Tools. This Includes Experience With Programming Languages Such As Python And R, As Well As Familiarity With Popular Ai Libraries Like Tensorflow And Scikit-Learn.
Extensive Experience In Risk Management: The Principal Associate Should Have A Proven Track Record Of Identifying And Mitigating Technical Risks Related To Ai And Ml Projects. This Includes Experience With Risk Assessment Techniques, Such As Probability Analysis And Risk Modeling.
Knowledge Of Regulatory Requirements: As The Use Of Ai And Ml Becomes More Prevalent In The Financial Industry, It Is Important For The Principal Associate To Have A Strong Understanding Of Relevant Regulations And Compliance Requirements. This Includes Knowledge Of Laws Such As Gdpr And Regulations From Governing Bodies Like The Federal Reserve.
Strong Communication And Collaboration Skills: The Principal Associate Will Be Working Closely With Cross-Functional Teams, Including Data Scientists, Engineers, And Business Leaders. Therefore, It Is Important For The Candidate To Have Excellent Communication And Collaboration Skills To Effectively Convey Technical Risks And Solutions To Non-Technical Stakeholders.
Analytical And Problem-Solving Mindset: As A Risk Management Role, The Principal Associate Should Have A Strong Analytical And Problem-Solving Mindset. This Includes The Ability To Quickly Identify Potential Risks, Analyze Complex Data, And Develop Effective Solutions To Mitigate Those Risks.
Data Analysis
Cognitive Computing
Deep Learning
Algorithm development
Statistical modeling
Risk assessment
Predictive analytics
Neural Networks
Natural Language Processing (NLP)
Machine Learning Frameworks
Data
Communication
Conflict Resolution
Leadership
Time management
creativity
Organizational skills
Teamwork
Adaptability
Problem-Solving
Decision-making
According to JobzMall, the average salary range for a Artificial Intelligence and Machine Learning Technical Risk Principal Associate, ES Risk in McLean, VA, USA is $120,000-$150,000 per year. This range may vary depending on the individual's level of experience, education, and other factors.
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Capital One Financial Corporation is an American bank holding company specializing in credit cards, auto loans, banking, and savings accounts, headquartered in McLean, Virginia. Capital One is ranked 11th on the list of largest banks in the United States by assets.
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