Specialist

About the Role

Under direct guidance, works with internal and external datasets and client reference data to provide analysis in the development of statistical, financial, and/or econometric models. Contributes to analyzing asset performance, securities data, derivative pricing, risk exposure, or other sophisticated concepts. Provides analytical support and prepares drafts of standard and ad hoc reports for assigned areas.

With general guidance, supports assigned areas with basic statistical and quantitative analyses. May perform or oversee data management activities in support of more senior quantitative colleagues. Runs models, identifies exceptions, and takes corrective action.

Builds knowledge of technology tools used to conduct analyses. Applies techniques such as querying and macro development to extract data for populating models.

Builds knowledge of processes and products to understand which analyses, methodologies, and approaches best support assessment of performance, risk, or valuation.

Interprets findings and prepares initial drafts of standard reports.

Primarily responsible for the accuracy and quality of own work. Work contributes to the achievement of team goals.

Key Responsibilities

• Develop statistical, financial, and/or econometric models.
• Analyze asset performance, securities data, derivative pricing, and risk exposure.
• Provide analytical support and prepare reports.
• Perform basic statistical and quantitative analyses.
• Manage data for quantitative colleagues.
• Run models, identify exceptions, and take corrective action.
• Extract data using querying and macro development.
• Assess performance, risk, or valuation using various methodologies.
• Interpret findings and draft reports.

Requirements & Tech Stack

• Querying
• Macro development

Qualifications

• Bachelor's degree or the equivalent combination of education and experience.
• Advanced degree in quantitative analysis preferred.
• Experience in quantitative finance and technology preferred.
• 0-2 years of experience preferred.