Full Description

Job Summary

Support GMV Head in performing an independent validation of new and existing models that are used in Non-Financial Risk areas such as Financial Crime Risk, Fraud Risk, Compliance Risk, Operational Risk, etc. This includes but not limited to review of model development process including underlying assumptions & theoretical basis, quantitative assessment of model performance, documentation of validation finding and communicate to senior management in relevant forum.

Key Responsibilities

Support GMV Head in performing an independent validation of new and existing models that are used in Non-Financial Risk management pertaining to Financial Crime Risk, Fraud Risk, Compliance Risk, Operational Risk, etc of bank. Complete ownership of delivery around model submitted for validation providing independent challenge, adherence to regulatory expectation, accountable for quality, timeliness and effectiveness of deliverables. Engagement with senior stakeholders from different lines of defence mainly, first line of defence and third line of defence (Audit) to manage issues, governance and closure. Qualitative review of model development process including underlying assumptions & theoretical basis. Quantitative assessment of model performance via data evaluation and statistical testing. Thorough evaluation of AI Risks for those models which use AI in the processing component. Documentation of validation findings and communication of results to senior management and presentation to relevant committees. Review regulatory requirements and industry practice regarding the models. Assist Head of Model Validation in addressing concerns or questions relating to the models Lead implementation of newer tools and technology in the area of NFR validation to bring in process efficiency. Accountable for delivery of all validation assigned as per the various requirement which includes Group, country and regulatory ensuring that the validation is completed on time with quality excellence at par Manage all the stakeholder from development, data, audit and management to bring the validation to a closure.

Skills And Experience

Must-have Skills

Drives Vision & Purpose Gives Clarity and Guidance Strategic Mindset

Other Skills

Collaborates Courage Nimble Learning Decision Quality

Motivations

Financial crime models play a critical role in identifying suspicious activity, detecting potential money laundering and helping the bank meets its regulatory compliance. Any breach in such models leads to not only huge financial loss but also reputational loss.

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This role requires “thinking beyond model”, not just its statistical performance This role requires ability to “Challenge with confidence”. The associate should have an investigative mindset

Qualifications

Key Experiences

Previous experience in model validation, model development, quantitative analysis, or risk management roles, preferably at least 5 years, with a reasonable focus on AI risk.

Certifications / Qualifications (only Where Mandatory)

A bachelor’s or master’s degree in a quantitative field such as Artificial Intelligence, Machine Learning, Data Science, Statistics, Finance, or a related discipline

Languages

SAS, Python, R Proven experience in developing and implementing risk management frameworks and methodologies Strong understanding of Financial Crime Risk and Fraud Risk landscape. 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)

About Standard Chartered

We're a global bank connecting clients to our differentiated network, offering growth opportunities in the world's most dynamic markets. Our strategy, which combines cross-border capabilities and leading wealth management expertise, helps us deliver our purpose - to drive commerce and prosperity through our unique diversity.

Over our 170-year history, and across a unique geographical footprint connecting Asia, Africa and the Middle East to each other and the world, we've built a bank like no other, with diverse capabilities and partnerships that set us apart.

What We Offer

Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions, and geographies. 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 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.

Visit our careers website to learn more about us: www.sc.com/careers.