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Machine Learning Lead AI Lead, MRM AI

HSBC

London

On-site

GBP 80,000 - 120,000

Full time

30+ days ago

Job summary

HSBC is seeking a Machine Learning Lead for their Model Risk Management team in London. The role emphasizes leadership in AI validations and development of technical standards for AI risk assessments. Ideal candidates will possess a strong academic background in relevant fields and demonstrate expertise in AI, Python, and associated technologies.

Benefits

Private healthcare for UK employees
Enhanced maternity and adoption pay
Contributory pension scheme

Qualifications

  • Minimum Master's degree in relevant field; PhD preferred.
  • Experience leading AI product development or validation.
  • Deep understanding of AI algorithms and associated mathematics.

Responsibilities

  • Lead and provide technical expertise for AI risk assessments.
  • Develop and maintain MRM standards for Machine Learning.
  • Communicate complex concepts to non-technical stakeholders.

Skills

AI models
Machine Learning
Python
Statistical analysis
Data cleaning
Feature engineering

Education

Master's degree in Mathematics
PhD (preferred)

Tools

PyTorch
TensorFlow
scikit-learn

Job description

Machine Learning Lead, MRM AI- Risk and Compliance

Some careers open more doors than others.

If you're looking for a career that will help you stand out, join HSBC, and fulfil your potential - whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.

We are currently seeking an experienced individual to join this team in the role of Machine Learning Lead, MRM AI.

Model Risk Management (MRM) at HSBC is structured as a global function, headed up by the Chief Model Risk Officer (CMRO). MRM are the second line of defence (2LoD) for Model Risk and the CMRO is the global Model Risk Steward for the group and is also accountable for the global operation of the MRM function. MRM teams are based in each region, to ensure local subject matter expertise and to guide, review, and challenge. MRM activity is managed on a global basis as many models are used in multiple locations. This enables MRM to operate consistently and efficiently globally, and to take account of additional local regulatory requirements.

In this role, you will be responsible for, but not limited to:

  • Provide leadership, support, advice and technical expertise to members of other IMR teams working on AI validations.
  • Lead the development of technical standards and related guidance for AI risk assessments and validation tests.
  • Own all MRM standards and associated guidance linked to Machine Learning (including the full span of narrow/traditional AI from simple gradient boosting to deep neural networks, but excluding General Purpose AI).
  • Work with the Infrastructure Team to provide MRM requirements to Global Businesses and Functions requirements to support the efficient integration of MRM activities in AI use cases, platforms and tools.
  • Provide support, guidance and coaching to more junior members of the Independent Model Review teams.
  • Represent ERM to your key internal stakeholders.
  • Communicate across technical and business levels to ensure that stakeholders understand how their delivery is aligned with the Bank and ERMs goals.
To be successful in this role you should meet the following requirements:

  • A minimum of a Master's degree (or PhD preferred) in a relevant field such as Mathematics, Physics, Statistics, Quantitative Finance or a related discipline would be beneficial
  • Relevant experience leading the building or validating AI products.
  • Deep understanding of AI models, algorithms and the associated mathematics.
  • Experience with Python, including the main libraries used for data science and AI (e.g. PyTorch, TensorFlow, scikit-learn).
  • Knowledge of the risks associated with developing, deploying and using AI in large commercial organizations.
  • Knowledge of the regulatory landscape for AI and ability to access the impact of proposed changes in these regulatory rules to the bank.
  • Strong AI research, methodologies and techniques, particularly Deep Neural Networks, including Supervised and Unsupervised machine learning algorithms.
  • Expertise with data cleaning, feature engineering, and data normalization techniques.
  • Ability to present complex technical concepts and results to non-technical audiences in a persuasive and compelling manner
  • Research involving the development of complex models and the analysis of very large data sets would be highly beneficial
The base location for this role is London - Hybrid Working

You'll achieve more when you join HSBC.

Opening up a world of opportunity

Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces. Our recruitment processes are accessible to everyone - no matter their gender, ethnicity, disability, religion, sexual orientation, or age.

We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.

If you'd like to apply for one of our roles and need adjustments made, please get in touch with our Recruitment Helpdesk:

Email: hsbc.recruitment@hsbc.com

Telephone: +44 207 832 8500
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