Job description
Our purpose – Opening up a world of opportunity – explains why we exist. Here at HSBC we use our unique expertise, capabilities, breadth and perspectives to open up new kinds of opportunity for our more than 40 million customers. We’re bringing together the people, ideas and capital that nurture progress and growth, helping to create a better world – for our customers, our people, our investors, our communities and the planet we all share.
The SVP Wholesale Analytics will play a vital role in the measurement and assessment of financial and non-financial risks for the bank. Will develop sophisticated models to provide analytical solutions and tools to quantify key risk metrics.
As our SVP Wholesale Analytics you will:
- Lead wider team effort to meet regulatory and financial reporting obligations
- Lead wider team effort on credit risk model development and implementation
- Lead ad-hoc analyses to support business and other stakeholder requirements
- Develop and enhance methodologies and modelling framework for credit risk assessment
For this role, HSBC targets a pay range between $170,000.00 and $220,000.00
The final fixed pay offer will depend on the candidate and a number of variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location.
At HSBC, our overall goal is to provide a competitive Total Reward Package, with an appropriate mix of fixed pay, and variable pay, as part of an employee’s overall total compensation and benefits. Variable pay generally takes the form of discretionary, annual awards (sometimes referred to as a “bonus”). Additionally, HSBC offers a wide range of competitive and flexible benefits designed to help you improve your health and well-being, finances, and lifestyle.
Requisitos
You´ll likely have the following qualifications to succeed in this role:
- Relevant professional work experience in a bank, rating agency, consultancy, or advisory firm is a plus
- Research or work experience with MLOps and LLM
- MSc or PhD in a quantitative field (e.g., mathematics, engineering, statistics, economics, data science, etc)
- 8+ Years’ experience in Analytics and Modelling roles, including practical experience in developing predictive credit risk models leveraging statistical and (or) machine learning methods
- Proficient understanding of mathematical and statistical theory and methodology, fundamental AI/ML techniques
- Strong understanding of Wholesale credit & lending business and products, credit risk models and use in capital and financial planning, regulatory expectation, and industry best practices
- Hands on experience with Python/R/SQL/PySpark
- Excellent communication and presentation skills
- Demonstrated project management and stakeholder management skills (including both internal senior management and external regulatory agencies)
In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in the U.S. Applicants must be legally authorized to work in the U.S. as HSBC will not engage in immigration sponsorship for this position.
As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming, diverse and inclusive work environment. You will be empowered to drive HSBC’s engagement with the communities we serve through an industry-leading volunteerism policy, a generous matching gift program, and a comprehensive program of immersive Sustainability and Climate Change Initiatives. You’ll want to join our Employee Resource Groups as they play a central part in life at HSBC, including the development of our employees and networking inside and outside of HSBC. We value difference. We succeed together. We take responsibility. We get it done. And we want you to help us build the bank of the future!
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, race, national origin, ethnicity, disability or medical condition, genetic information, military or veteran service, religion, creed, sex, gender, pregnancy, childbirth, caregiver status, marital status, citizenship or immigration status, sexual orientation, gender identity or expression or any other trait protected by applicable law.