Key skills
PythonSQLAnalytics
About this role
Role Overview
- Provide financial and regulatory reporting and analyses
- Run complex business performance, risk, and operational analytics
- Develop analytical methods/models to assess market, credit, and/or operational risk
- Analyze large datasets to improve risk-adjusted returns
- Develop and implement business strategies to improve lending decisions
- Manage engagements with information suppliers to ensure solutions fit for purpose
- Collaborate with business and risk partners to establish credit risk appetite
- Design/enhance standard reporting for product/portfolio reviews
Requirements
- 2+ years of relevant professional experience
- university/college degree or equivalent combination of education and job specific certification(s)
- banking fraud experience
- analytical thinking, credit risks, data analytics, financial analysis, fraud analysis, model development, operational risks, Python (programming language), quantitative models, risk appetite, structured query language (SQL)
Tech Stack
- Python
- SQL
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
- robust wellness program with financial incentives
- paid time off including maternity/parental leave, holidays, vacation days