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.
Key Responsibilities
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.
Qualifications
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)
Skills and Experience
Communication & Influencing Skills
Business Partnering
Manage Change
Data Science
Manage Projects
Python
Model Risk Management
About Standard Chartered
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:
Do the right thing
and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
Never settle,
continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
Are better together,
we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
What we offer
In line with our Fair Pay Charter,
we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
Core bank funding for retirement savings, medical and life insurance,
with flexible and voluntary benefits available in some locations.
Time-off
including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
Flexible working
options based around home and office locations, with flexible working patterns.
Proactive wellbeing support
through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
A continuous learning culture
to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
*
Being part of an inclusive and values driven organisation,
one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
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