Product Manager/ BA

6 days ago


Bengaluru, Karnataka, India Innova ESI Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role: Product Manager/ BA - Capital Market

CFA / FRM – Certification is a Must.

Location: Bangalore | Noida | Gurgaon | Pune | Chennai | Mumbai | Hyderabad

Experience: 7+ Years

Immediate Joiners Only

Product Manager/ BA - Capital Markets

Job Description:

  • Capital Markets
  • Act as the primary liaison between
    business stakeholders, trading desks, risk, operations, and technology teams
    .
  • Gather, analyze, and document
    business and functional requirements
    across the
    trade lifecycle
    .
  • Provide strong subject matter expertise on
    financial products
    including equities, fixed income, FX, derivatives (OTC and exchange-traded), and structured products, with emphasis on their trade lifecycle.
  • Lead impact analysis, gap assessments, and solution design for
    trading systems, risk engines, settlement platforms
    , and their integration across the lifecycle.
  • Translate complex business needs into clear
    functional specifications, process flows, and user stories
    that map directly to trade lifecycle activities.
  • Support project delivery through the entire
    SDLC
    , including
    test case design and UAT for trade lifecycle processes
    .
  • Collaborate with vendors/technology partners to evaluate solutions and ensure alignment with the bank's capital markets operating model
  • Experience with Data analysis with advance knowledge of SQL and Python
  • Experience with Data Modelling (logical and physical data models)

Qualifications & Skills

Education
:

MBA (Finance)
OR
professional certification such as
CFA / FRM
.

Experience
:

7–10+ years as a
Business Analyst
in capital markets serving large investment banks

Proven expertise in
traded products
(equities, fixed income, derivatives, FX, structured products).

Skills
:

Strong knowledge of
end-to-end trade lifecycle

Strong knowledge of Capital Market products (such as swaps, options etc.)

Deep understanding of
asset classes
(equities, credit, rates etc.).

Proficiency in SQL and Python

Experience in data analysis

Exposure to data modelling tools such as ErWin

Ability to work in
agile delivery environments



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