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Senior Financial Data Analyst

Actively Reviewing the Applications

UpTye

India, Maharashtra, Mumbai Full-Time On-site
Posted 2 days ago Apply by June 8, 2026

Job Description

Senior Financial Data Analyst

Location: Mumbai, India

Experience: 4–5 Years in CS/Data Science/Finance

Role Type: Full-time (Fast-paced Startup Environment)

Notice Period: Immediate to 15 days preferred.


About The Role

We are looking for a versatile Financial Data Analyst to join its Category III Alternative Investment Fund (AIF). You will be the bridge between complex financial datasets and strategic fund operations. This is a high-impact role in a high-stress environment that requires a blend of traditional financial modelling and modern AI-driven coding techniques.


Key Roles and Responsibilities


  • Fund Operations & Modelling: Own the end-to-end understanding of NAV calculations, Regression analysis, and the application of Highwater Marks in performance fee structures.
  • Data Analysis & Modelling: Leverage strong analytical skills to interpret complex datasets, tackle business challenges, and design database structures that scale.
  • Advanced Spreadsheet Management: Highly experienced in MS Excel and Google Sheets for sophisticated financial modelling and reporting.
  • AI-Assisted Development: Proficiency in Python and SQL is preferred, with a strong focus on "Vibe Coding" - utilising AI tools (like Cursor, Claude, or Gemini) to prototype, debug, and deploy data solutions rapidly.
  • Strategic Communication: Translate data-driven insights into clear, actionable recommendations for fund managers and diverse stakeholders.
  • Ad Hoc Analytics: Respond quickly to diverse business challenges with "just-in-time" analysis, providing data-driven support for strategic decisions as they arise.


Qualification


  • Experience: 4–5 years in Computer Science or Data Science, specifically within financial asset management or related industries.
  • Education: A degree in Data Science, Statistics, Mathematics, Computer Science, or Finance. CFA, MBA (Finance), or a Master’s degree is highly preferred.
  • Mindset: Used to working in a fast-paced, high-pressure startup environment. You must be comfortable with the "zero-to-one" nature of an AIF.
  • Tech Stack: Familiarity with industry-standard analytics platforms and software.


Compensation


  • Salary: Competitive for eligible candidates.


Requirements added by the job poster

• 3+ years of Financial Services experience

• Can start immediately

• 4+ years of work experience with Excel Modeling

• 3+ years of experience in Finance

• 3+ years of work experience with Google Sheets

• Master's Degree

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