State Street

Finance / FinServ

QuantitativeRisk,SrAssc

Hangzhou, China FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Quantitative Risk, SrAssc at State Street. Skills: quantitative risk analysis, model validation, quantitative analysis, statistical analysis, machine learning. 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. Perform data preparation and quantitative analysis by applying statistical analysis and/or machine learning approaches to help assess whe”

Industry & Context.

Finance / FinServ
Problems you'll solve

analytical and quantitative ability

What They're Looking For.

Must Have

Master’s degree (or higher) in a quantitative discipline (e.g. Statistics, Economics, Mathematics, Computer Science/Engineering, or equivalents)

Nice to Have

Prior working experience is not 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, Finance and/or risk management certificates like CFA and FRM are a plus but not required

What You'll Do.

Support and perform independent validations on models such as credit risk

and AI models by executing assigned analytical workstreams and tests

Perform data preparation and quantitative analysis by applying statistical analysis and/or machine learning approaches to help assess whether models are performing as expected

Assist in documenting validation work (e. g.

and limitations) and in compiling supporting evidence for review and reporting

Coordinate with model developers and business partners to help relay questions

and to help track actions and responses

Contribute to streamlining the analytical process and improving pace of execution through automation and process improvements

How You'll Work.

Team & Collaboration

Work with team members in Hangzhou under the supervision of the model validation lead in China to support model validation activities covering models worldwide; Coordinate with model developers and business partners to help relay questions, issues, and feedback, and to help track actions and responses

Communication Scope

explain analysis clearly; Clear and effective communication style; ability to adapt to various audiences without diluting effectiveness

Process & Methodology

manage assigned tasks, meet deadlines

Full Job Description

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. This role will report to the model validation lead in China, within the Model Risk Management Department 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 exec

Free ATS check

Applying for this Quantitative Risk, SrAssc role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about State Street?

Real rants from real employees. Read before you apply.

Read Company Rants →