RESUME AND JOB
Standard Chartered
• Perform independent validation of new and existing models that are used in Non-Financial Risk domains such as Human resource management, financial crime risks, Operational risk, and / or models using Artificial Intelligence and Machine Learning approaches.
• Qualitative review of model development process including underlying assumptions & theoretical basis.
• Quantitative assessment of model performance through data evaluation and statistical testing.
• Documentation of validation findings and communication of results to senior management and presentation to relevant committees.
• Coordination with internal stakeholders on model issues, achieving suitable resolutions.
• Manage and complete the model validation from end to end, meeting the planned timelines and required standards.
• Recommend improvements in the models.
• Review regulatory requirements and industry practice regarding models.
• Assist Head of Model Validation in addressing concerns or questions relating to the models.
Strategy
• Deliver on regulatory and business priorities through effective model validation activities.
Business
• Advise work streams/business teams on areas of improvement and enhance the quality and credibility of internal and external/regulatory submissions (where applicable).
Processes
• Continuously improve the operational efficiency and effectiveness of the validation processes
• Identify and escalate significant issues and ensure these issues are appropriately tracked and followed up
• Continuously improve the model validation activity, ensuring compliance with the Bank’s policies, standards, existing and emerging regulatory requirements
People & Talent
• Build good and productive working environment.
• Lead through example and build the appropriate culture and values within the team and across the wider organisation.
Risk Management
• Ensure effective management of the operational risks within the function and compliance with applicable internal policies, and external laws and regulations.
• Uphold and reinforce the independence of the model validation team from those whose primary responsibility is to maximise short-term revenues and profits.
• Consult and assist the business functions to ensure model risk management remains fit for purpose.
Governance
• Submit reports and findings to relevant model approval forums and committees
• Ensure good quality and timely submissions to model validation papers to delegated model approvers
Regulatory & Business Conduct
• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key stakeholders
Internal
• Strategy and Talent (Human Resources) department
• FCC function
• Operational Risk function
• Pension Risk function
• Members of Model Assessment Committees
• Members of Group Risk Committee
• Model Risk Policy and Governance
• Global, Regional and Country business heads, CEOs, COOs
• Internal Audit – Functions
External
• Prudential Regulation Authority (PRA) and other key regulators
• The Group's external auditors
Other Responsibilities
• Embed Here for good and Group’s brand and values in Group / Country Risk
• Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures.
• Education-Bachelor’s or master’s degree in a quantitative field such as Artificial Intelligence, Machine Learning, Data Science, Statistics, or a related discipline.
• Certifications-CAMS, CFE, FRM, PRM and/or CFA qualifications are desirable
• Languages-Python / R / SAS
• Previous experience in model validation, model development, quantitative analysis, or risk management roles, preferably at least 5-7 years, with a focus on AI risk
• Proven experience in developing and implementing risk management frameworks and methodologies
• Strong knowledge of relevant regulations (i.e., EU AI Act, SS 1/23, SR 11-7), industry best practices related to AI risk, and model risk management frameworks
• Good understanding of model life cycle management and model risk management
• Proficient in statistical and large datasets analysis using software solutions SAS, Python, R
• Thorough understanding of Data Science, Machine Learning and GenAI models including knowledge of frameworks and techniques.
• AI/ML Fundamentals: Familiarity with algorithms, techniques, calibration, evaluation and testing
• supervised, unsupervised learning models (such as classification, regression, clustering) and reinforcement learning
• deep learning concepts including GenAI such as LLMs and the respective terminologies, i.e., LLM architecture, prompt engineering, finetuning, Retrieval Augmented Generation (RAG), evaluation framework and benchmark
• evaluation of model performance including accuracy, stability, fairness
• ability to address challenges of AI models; Black-box nature, drift (Data drift, concept drift, model drift), and ethical considerations
• Explainability and Interpretability: Demonstrated knowledge and practical experience with techniques for model explainability and interpretability, such as LIME and SHAP to address black-box nature of models
• Bias and Fairness: Understanding how explainability techniques, combined with data quality analysis, can help uncover biases in model predictions and contribute to fairness assessments (including testing and metrics)
• Communication & Influencing Skills
• Business Partnering
• Manage Change
• Data Science
• Manage Projects
• Python
• Model Risk Management
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
90,000 - 160,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
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Standard Chartered
• Perform independent validation of new and existing models that are used in Non-Financial Risk domains such as Human resource management, financial crime risks, Operational risk, and / or models using Artificial Intelligence and Machine Learning approaches.
• Qualitative review of model development process including underlying assumptions & theoretical basis.
• Quantitative assessment of model performance through data evaluation and statistical testing.
• Documentation of validation findings and communication of results to senior management and presentation to relevant committees.
• Coordination with internal stakeholders on model issues, achieving suitable resolutions.
• Manage and complete the model validation from end to end, meeting the planned timelines and required standards.
• Recommend improvements in the models.
• Review regulatory requirements and industry practice regarding models.
• Assist Head of Model Validation in addressing concerns or questions relating to the models.
Strategy
• Deliver on regulatory and business priorities through effective model validation activities.
Business
• Advise work streams/business teams on areas of improvement and enhance the quality and credibility of internal and external/regulatory submissions (where applicable).
Processes
• Continuously improve the operational efficiency and effectiveness of the validation processes
• Identify and escalate significant issues and ensure these issues are appropriately tracked and followed up
• Continuously improve the model validation activity, ensuring compliance with the Bank’s policies, standards, existing and emerging regulatory requirements
People & Talent
• Build good and productive working environment.
• Lead through example and build the appropriate culture and values within the team and across the wider organisation.
Risk Management
• Ensure effective management of the operational risks within the function and compliance with applicable internal policies, and external laws and regulations.
• Uphold and reinforce the independence of the model validation team from those whose primary responsibility is to maximise short-term revenues and profits.
• Consult and assist the business functions to ensure model risk management remains fit for purpose.
Governance
• Submit reports and findings to relevant model approval forums and committees
• Ensure good quality and timely submissions to model validation papers to delegated model approvers
Regulatory & Business Conduct
• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key stakeholders
Internal
• Strategy and Talent (Human Resources) department
• FCC function
• Operational Risk function
• Pension Risk function
• Members of Model Assessment Committees
• Members of Group Risk Committee
• Model Risk Policy and Governance
• Global, Regional and Country business heads, CEOs, COOs
• Internal Audit – Functions
External
• Prudential Regulation Authority (PRA) and other key regulators
• The Group's external auditors
Other Responsibilities
• Embed Here for good and Group’s brand and values in Group / Country Risk
• Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures.
• Education-Bachelor’s or master’s degree in a quantitative field such as Artificial Intelligence, Machine Learning, Data Science, Statistics, or a related discipline.
• Certifications-CAMS, CFE, FRM, PRM and/or CFA qualifications are desirable
• Languages-Python / R / SAS
• Previous experience in model validation, model development, quantitative analysis, or risk management roles, preferably at least 5-7 years, with a focus on AI risk
• Proven experience in developing and implementing risk management frameworks and methodologies
• Strong knowledge of relevant regulations (i.e., EU AI Act, SS 1/23, SR 11-7), industry best practices related to AI risk, and model risk management frameworks
• Good understanding of model life cycle management and model risk management
• Proficient in statistical and large datasets analysis using software solutions SAS, Python, R
• Thorough understanding of Data Science, Machine Learning and GenAI models including knowledge of frameworks and techniques.
• AI/ML Fundamentals: Familiarity with algorithms, techniques, calibration, evaluation and testing
• supervised, unsupervised learning models (such as classification, regression, clustering) and reinforcement learning
• deep learning concepts including GenAI such as LLMs and the respective terminologies, i.e., LLM architecture, prompt engineering, finetuning, Retrieval Augmented Generation (RAG), evaluation framework and benchmark
• evaluation of model performance including accuracy, stability, fairness
• ability to address challenges of AI models; Black-box nature, drift (Data drift, concept drift, model drift), and ethical considerations
• Explainability and Interpretability: Demonstrated knowledge and practical experience with techniques for model explainability and interpretability, such as LIME and SHAP to address black-box nature of models
• Bias and Fairness: Understanding how explainability techniques, combined with data quality analysis, can help uncover biases in model predictions and contribute to fairness assessments (including testing and metrics)
• Communication & Influencing Skills
• Business Partnering
• Manage Change
• Data Science
• Manage Projects
• Python
• Model Risk Management
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
90,000 - 160,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Get personalized recommendations to optimize your resume specifically for Manager, NFR Validation. Takes only 15 seconds!
Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.


Answer 10 quick questions to check your fit for Manager, NFR Validation @ Standard Chartered.
No related jobs found at the moment.
© 2026 Pro Partners. All rights reserved.