Happen
Financial Services
QuantitativeRisk,AVP
Neural analysis suggests this role is
optimal for Mid candidates.
“Quantitative Risk, AVP at Happen. Skills: Model Validation, Quantitative Risk, AML, sanctions, market surveillance. Perform independent validations of compliance related models, with a primary focus on models used in areas such as AML, sanctions, and market surveillance, with scope to expand to other model families as responsibilities evolve. Conduct quantitative analysis to evaluate and quantify model risks”
What You'll Achieve.
ensure model risks are correctly identified, assessed, and managed; making recommendations for improvements
Industry & Context.
quantitative analysis; statistical techniques; machine learning methods; Assess model design, assumptions, performance, and limitations
What They're Looking For.
Must Have
MS or PhD in Finance, Statistics, Economics, Mathematics, Financial Engineering, Computer Science / Engineering, or related field, Prior experience in Compliance, including areas such as AML, sanctions, or market surveillance, or experience working closely with compliance models, Ability to exercise sound judgment when reviewing compliance models with limited data or methodological transparency, written and verbal communication skills, project management skills exemplified by the ability to work independently on multiple projects with competing priorities and meet deadlines
Nice to Have
CFA or FRM designation, Bachelor’s degree and relevant experience may also be considered, Familiarity with quantitative modeling concepts, analytical techniques, or programming tools (e. g. , Python, R, MATLAB, SAS, Stata, SQL) is a plus
What You'll Do.
Perform independent validations of compliance related models
with a primary focus on models used in areas such as AML
and market surveillance
with scope to expand to other model families as responsibilities evolve
Conduct quantitative analysis to evaluate and quantify model risks
and limitations based on available documentation
and internal standards
Analyze large-scale datasets using statistical techniques and machine learning methods to support model validation and performance assessment
Communicate with model developers and business to relay the issues and feedback and capture the action plans
Present results of model validation work to senior management and making recommendations for improvements
How You'll Work.
Team & Collaboration
Communicate with model developers and business to relay the issues and feedback and capture the action plans
Communication Scope
written and verbal communication skills; Communicate with model developers and business; Present results of model validation work to senior management
Process & Methodology
work independently on multiple projects with competing priorities and meet deadlines
Full Job Description
**Who we are looking for** State Street’s Model Risk Management (MRM) function is seeking a Quantitative Analyst to join its Model Validation team based in Boston, MA. The Quantitative Analyst will participate in model validation to ensure model risks are correctly identified, assessed, and managed. **Why this role is important to us** The team you will be joining plays an important role in the overall success of the organization. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. To make that happen, we need talented individuals like you. In this role, you will strive for cutting-edge solutions that are straightforward and scalable. You will help us build resilience and execute day to day deliverables at our best. Join us if making your mark in the financial services industry from day one is a challenge you are up for. **What you will be responsible for** As Quantitative Risk, AVP you will * Perform independent validations of compliance related models, with a primary focus on models used in areas such as AML, sanctions, and market surveillance, with scope to expand to other model families as responsibilities evolve * Conduct quantitative analysis to evaluate and quantify model risks * Assess model design, assumptions, performance, and limitations based on available documentation, regulatory guidance, industry practices, and internal standards * Analyze large-scale datasets using statistical techniques and machine learning methods to support model validation and performance assessment * Communicate with model developers and business to relay the issues and feedback and capture the action plans * Present results of model validation work to senior management and making recommendations for improvements **Job Qualifications:** * MS or PhD in Finance, Statistics, Economics, Mathematics, Financial Engineering, Computer Science / Engineering, or related field. CFA or FRM designation
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