Investment Data & Pricing Analyst — Hybrid (Milwaukee/Charlotte)

Allspring Global Investments; Milwaukee (WI); Hybrid; USD 75.000 - 95.000; Vollzeit

Zusammenfassung

Allspring Global Investments in Milwaukee is seeking an Analyst for Investment Data Operations to manage pricing and security master data. You will oversee data sourcing, validation, processing, and distribution across investment products, partnering with Engineering, PMs, and other teams to ensure accurate pricing data.

The role requires 11:00 AM–7:00 PM ET hours, a hybrid work model with in-office 4 days/week, and collaboration across stakeholders to maintain data integrity in a fast-paced

Qualifikationen

• Bachelor's degree in Finance, Economics, or a related field.
• 3+ years in Investment Operations, preferably supporting Valuation.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a cross-functional environment.
• Proficient in business software; comfortable with large data sets.

Aufgaben

• Perform daily valuation and validation of securities across asset classes.
• Review external pricing and apply fair value methodologies.
• Collaborate with internal teams to ensure data integrity.
• Partner with technology to automate workflows and improve controls.
• Support Institutional clients and Subadvised business inquiries.

Kenntnisse

Strong analytical skills

Team collaboration

Effective communication

Problem-solving

Ausbildung

Bachelor's degree in Finance/Economics or related field

Tools

Excel

SQL

VBA

Bloomberg

Advent APX

CRD

Jobbeschreibung

Allspring Global Investments in Milwaukee is seeking an Analyst for Investment Data Operations to manage pricing and security master data. You will oversee data sourcing, validation, processing, and distribution across investment products, partnering with Engineering, PMs, and other teams to ensure accurate pricing data.

The role requires 11:00 AM–7:00 PM ET hours, a hybrid work model with in-office 4 days/week, and collaboration across stakeholders to maintain data integrity in a fast-paced