Securities Analyst Associate
PNC
full-time
Posted on:
Location Type: Office
Location: Philadelphia • Pennsylvania • United States
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About the role
- Oversee day to day implementation/trading activity of client portfolios
- Review & monitor portfolio risk statistics and key trigger events
- Conduct quantitative analysis to manage, measure, and monitor portfolio performance and tracking error
- Develop performance analytics, analyze relative value, and assess portfolio performance attribution
- Coordinate with front office to support business development and global portfolio reviews
Requirements
- Be highly motivated and have a strong interest in financial markets
- Strong attention to detail
- Eager to learn and develop new skills
- Be able to work with complex datasets
- A degree in finance, statistics, math, or economics is a plus
- Programming, modeling, or other quantitative skills is a plus
- Pursuing a CFA is preferred
- 2+ years of relevant professional experience
Benefits
- medical/prescription drug coverage (with a Health Savings Account feature)
- dental and vision options
- employee and spouse/child life insurance
- short and long-term disability protection
- 401(k) with PNC match
- pension and stock purchase plans
- dependent care reimbursement account
- back-up child/elder care
- adoption, surrogacy, and doula reimbursement
- educational assistance, including select programs fully paid
- a robust wellness program with financial incentives
- maternity and/or parental leave
- up to 11 paid holidays each year
- 9 occasional absence days each year, unless otherwise required by law
- between 15 to 25 vacation days each year, depending on career level; and years of service
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
quantitative analysisportfolio performance measurementperformance analyticsportfolio performance attributiondata analysismodelingprogramming
Soft Skills
attention to detailmotivationeagerness to learnability to work with complex datasets
Certifications
CFA