Overview
On Site
Hybrid2 days a week
Depends on Experience
Full Time
Accepts corp to corp applications
Skills
Credit Research
Portfolio Managers
Investment Risk
Quantitative Strategies
Asset Management
Investment Management
Fixed Income
ESG
Business Systems Analyst
BSA
Job Details
Position: Business Data Analyst - Credit Research
Location: Newark, New Jersey
Hybrid Onsite: 2 days a week
Duration: 12 Month Contract
2nd Round Interview will be Onsite- face to face
Must Haves:
- 10+ years of Business Analysis at a Asset Management/Investment Management firm.
- Must have buy-side Fixed Income experience, supporting front office end-users.
- Must have experience supporting Credit Research, Portfolio Managers, Investment Risk, & Quantitative Strategies.
- Experience in various Fixed Income instruments is required
- Experience in Fixed Income credit research practices and ESG
- Working knowledge of data governance and ability to ensure high data quality is maintained throughout the data lifecycle of a project
- The ideal candidate will demonstrate an ability to structure SQL queries, understand stored procedures, have experience with Business Intelligence Reporting tools and understand relational database models.
- Innate ability to assess current process and suggest change-driven solutions to enhance business outcomes
- Experience with Application Lifecycle Management (ALM) tools (Jira, Confluence)
- Bachelor s degree in Finance, Statistics, Economics, Computer Science or a related field.
- CFA Certification
Responsibilities:
- Be the key Business Systems Analyst for the ESG and Credit Research teams specifically focused on research, data models, analysis, analytics, and reporting.
- Utilize knowledge of business analysis concepts and Software Development Life Cycle (SDLC) methodologies to support business initiatives and system enhancements within our Credit value stream function.
- Perform business process reviews and workflow changes by working with business users, vendors, and IT when applicable.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.