Senior Securities Analyst – Direct Indexing Research

PNC Financial Services Group, Inc.; United States; Presencial; USD 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical/dental/vision coverage

401(k) with company match

Wellness program

Paid holidays

Resumo da oferta

PNC Financial Services Group, Inc. invites applications for a Senior Securities Analyst Associate within the Asset Management Group's Investment Office, based in Philadelphia, PA.

The CDI/THOR team uses quantitative methods to balance active risk with client objectives in portfolios managed around $9B in AUM. The role emphasizes data-driven analysis, direct indexing approaches, and ongoing model enhancement.

Qualificações

• 3+ years of relevant / direct industry experience.
• Ability to work with large datasets and validate data for analytics.
• Experience with equity direct indexing and SMA trading.
• Progress toward CFA designation is preferred.

Responsabilidades

• Provide fixed income research coverage on assigned sectors.
• Analyze financial statements and market dynamics to build credit profiles and valuation frameworks.
• Support issuer and security recommendations with financial models and data analysis.
• Generate portfolio recommendations using financial, technical and valuation metrics.

Conhecimentos

SMA trading

portfolio implementation

data sourcing/cleaning/validation

Python/SQL

equity investing/portfolio构建

attention to detail

FactSet

Bloomberg

statistical modeling/time series

CFA towards designation

Formação académica

Bachelor's degree

Ferramentas

Python

SQL

FactSet

Bloomberg

Descrição da oferta de emprego

PNC Financial Services Group, Inc. invites applications for a Senior Securities Analyst Associate within the Asset Management Group's Investment Office, based in Philadelphia, PA.

The CDI/THOR team uses quantitative methods to balance active risk with client objectives in portfolios managed around $9B in AUM. The role emphasizes data-driven analysis, direct indexing approaches, and ongoing model enhancement.