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
quantitative analysisportfolio performance measurementperformance analyticsportfolio performance attributiondata analysismodelingprogramming
Soft skills
attention to detailmotivationeagerness to learnability to work with complex datasets
Certifications
CFA