Assistant Vice President Data Scientist, Credit Risk Modeler

Key Skills

Credit Risk, Data science techniques, Machine learning techniques, Predictive Modeling, Python Programming, R Programming, Spark Core, SQL, Statistics

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.

We are currently seeking an experienced individual to join this team as the Assistant Vice President Data Scientist, Credit Risk Modeler, you will play a vital role in the measurement and assessment of financial and non-financial risks for the bank. You will develop sophisticated models to provide analytical solutions and tools to quantify key risk metrics.

As our Assistent Vice President Data Scientist, Credit Risk Modeler you will:

• Support wider team effort to meet regulatory and financial reporting obligations
• Support wider team effort on model development and implementation
• Support ad-hoc analyses to support business and other stakeholder requirements
• Develop and enhance methodologies and models for credit risk assessment

For this role, HSBC targets a pay range between $100,000.00 and $150,000.00.

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.

Requirements

In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in the US. Applicants must be legally authorized to work in the U.S. as HSBC will not engage in immigration sponsorship for this position.

You´ll likely have the following qualifications to succeed in this role:

• MSc or PhD in a quantitative field (e.g., mathematics, engineering, statistics, economics, data science)
• 2-3 years of experience of developing predictive models leveraging statistical and (or) machine learning methods to solve complex business problems, credit risk modelling experience is a plus
• Knowledge and experience across broad range of analytics platforms, languages, and tools (Python, R, SQL, Spark)
• Knowledge of credit risk and portfolio management, wholesale credit & lending business and products
• Demonstrable experience in execution of modelling projects aligned with regulatory expectations and industry practices
• Relevant professional work experience in a bank, rating agency, consultancy, or advisory firm is a plus

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 regulatory 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!