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Business Analyst/ Product Manager

Smart IT Frame LLC

Location

New Jersey, United States

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

Role: Business Analyst/ Product Manager

Location: NY/NJ/Boston (Onsite)

Duration: FTE

Job Summary

We are looking for a dynamic

Business Analyst / Product Manager

with strong experience in

Asset Management / Investment Management domain

. The ideal candidate will have hands-on exposure to

portfolio management, trade lifecycle, and investment operations

, along with the ability to translate business needs into

product specifications and intuitive UX designs

.

Candidates with

FinTech SaaS product experience

and exposure to

alternative investments

will be highly preferred.

Key Responsibilities

  • Gather, analyze, and document business requirements and translate them into

detailed product specifications

  • Collaborate with stakeholders to design

user-centric UX workflows and wireframes

  • Work closely with engineering, data, and QA teams to deliver high-quality product features
  • Understand and map

investment workflows

, including:

  • Portfolio Management
  • Trade Order Management
  • Cashflow \& Investment Operations
  • Analyze and improve

end-to-end trade lifecycle processes

(equities, bonds, and other instruments)

  • Support

product roadmap planning

and feature prioritization

  • Perform

data analysis

to support business decisions and product enhancements

  • Act as a bridge between business users and technical teams

Required Skills \& Qualifications

  • 8-10 years of experience in

Business Analysis / Product Management

  • Strong domain knowledge in

Asset Management / Institutional Investment Management

  • Solid understanding of:
  • Equities, Fixed Income (Bonds), Trade Lifecycle
  • Investment operations and workflows
  • Experience in writing:
  • Product Requirement Documents (PRDs)
  • User Stories, Functional Specs
  • Exposure to

UX design / workflow design

  • Hands-on experience with data analysis tools such as:
  • SQL / Python / R / Excel
  • Strong communication and stakeholder management skills

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