Babblebots - Investment Analyst - DeepTech Startup

Job Posting for SINE IIT Bombay

Role: Investment Analyst - DeepTech Startups

Location: Mumbai, India (onsite)-

Experience: 2-5 years

About Y-Point VC Fund:

Y-Point is a DeepTech-focused venture capital fund sponsored by SINE, IIT Bombay. We invest in transformative startups emerging from India's top research institutions-such as IITs, IISc, and IIITs-across sectors including:

- Artificial Intelligence & Computing

- Advanced Manufacturing

- Next-gen Materials

- Lifesciences & Biotechnology

- Climate & CleanTech

- Space & Defense

Our focus is on early-stage investments from pre-seed to pre-Series A, supporting founders through the critical TRL 4-7 phase ("Valley of Death") with capital, strategic guidance, and ecosystem access. Currently, we are in the process of getting registered with SEBI.

Roles and Responsibilities:

Sourcing & Research

- Proactively identify DeepTech startups and founders across India's academic and research ecosystem

- Build and maintain relationships with technology incubators, accelerators, and bankers

- Conduct market landscaping, sector mapping, and pipeline development

- Track trends in science-based innovation and breakthrough technologies

Due Diligence

- Evaluate technology readiness, business models, IP, and founder-market fit

- Support technical and commercial due diligence in collaboration with domain experts

- Prepare investment memos and present findings to the investment committee

Portfolio Support

- Work with founders to track milestones, financials, and fundraising readiness

- Assist in building post-investment value creation plans

- Coordinate with incubators, labs, and academic networks for technical support

Fund Operations

- Support investment documentation and compliance

- Maintain internal databases (deal flow, portfolio, LP reporting inputs)

- Assist in preparing presentations for LPs, partners, and ecosystem engagements

Who Should Apply:

We're looking for curious, mission-driven individuals with a mix of technical depth and financial capability, ideally with:

- A degree in science, engineering, finance, economics, or business; candidates with dual exposure (e.g., engineering + MBA/finance) are strongly preferred

- Strong analytical, research, and communication skills

- Understanding of finance, financial modeling, and valuation skills

- Experience or interest in DeepTech sectors, including understanding TRL stages and commercial viability of research

- Prior exposure to VC, private equity, investment banking, or startup ecosystems (preferable but not mandatory)

- Excellent written and verbal communication skills

- A proactive, resourceful mindset and comfort working in unstructured, early-stage environments