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Entry-level Quantitative Risk Analyst – Senior Associate position in Hangzhou, China.
Work with global model validation teams, evaluate credit, market, climate, and AI models using advanced analytics.
Who we are looking for
An entry-level analyst with a strong technical and quantitative aptitude to act as a Quantitative Risk Analyst, Senior Associate based in Hangzhou, China.
Why this role is important to us
Banks use models in different business functions ranging from wholesale credit, asset liability management, AML, trading, and others to risk management. Model Risk Management (MRM) involves effective challenge, which refers to the critical analysis conducted by model validator who evaluate model risk and effect appropriate changes throughout the model lifecycle, from model development to ongoing monitoring. A model validation analyst provides independent quantitative validation of models used for business and operating decisions by assessing model theoretical soundness and assumptions, evaluating data integrity, and performing sufficient quantitative testing
What you will be responsible for
As Quantitative Risk, Senior Associate you will · Work with team members in Hangzhou under the supervision of the model validation lead in China to support model validation activities covering models worldwide:
- o Support and perform independent validations on models such as credit risk, market risk, climate risk, portfolio management, pricing, and AI models by executing assigned analytical workstreams and tests.
- o Perform data preparation and quantitative analysis by applying statistical analysis and/or machine learning approaches to help assess whether models are performing as expected.
- o Assist in documenting validation work (e.g., methodology, testing approach, results, and limitations) and in compiling supporting evidence for review and reporting
- o Coordinate with model developers and business partners to help relay questions, issues, and feedback, and to help track actions and responses.
- o Contribute to streamlining the analytical process and improving pace of execution through automation and process improvements (under guidance from the validation lead).
What we value
These skills will help you succeed in this role
- · Strong analytical and quantitative mindset; ability to learn quickly and improve on existing risk methodologies and analytical approaches.
- · A self-assured and motivated individual able to explain analysis clearly and incorporate feedback from reviewers.
- · Clear and effective communication style, with an ability to adapt to various audiences without diluting effectiveness.
Education & Preferred Qualifications
- • Master’s degree (or higher) in a quantitative discipline (e.g. Statistics, Economics, Mathematics, Computer Science/Engineering, or equivalents).
- • Prior working experience is not mandatory; internship experience, academic projects, or research experience in quantitative analytics, modeling, or risk is a plus.
- • Demonstrated understanding (through coursework/projects) of quantitative analytics topics relevant to credit risk and/or market risk is preferred.
- • Understanding in financial services regulations such as Basel, stress testing, and CCAR is a plus.
- • Proficient in one or more programming languages such as Python, R, or Matlab.
Additional requirements
- · Ability to take initiative, manage assigned tasks, and meet deadlines in a team-based environment.
- · Finance and/or risk management certificates like CFA and FRM are a plus but not required.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
Equal Opportunity Statement
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Additional Information
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