Key Facts

Remote From:

Anywhere

Full time

Entry-level / graduate

67 - 67K yearly

English

Hard Skills

Analytical Dashboard Python (Programming Language) Data Quality Assessment User Interface Testing Portfolio Management SQL (Programming Language) Software Development Analytics Data Visualization Customer Requirements Analysis Software Prototyping Stakeholder Communications TypeScript R (Programming Language) Data Collection Generative Artificial Intelligence Feature Engineering Product Knowledge

Other Skills

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Communication
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Teamwork
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Analytical Thinking
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Detail Oriented
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Problem Solving

Roles & Responsibilities

BSc/MSc in progress in Quantitative Finance, Finance, Computer Science, or a related field
Strong understanding of finance fundamentals (valuation, multiples, fund mechanics, IRR/MOIC)
Coding experience in at least one language (e.g., Python, JS/TS, SQL, R)
Interest in using GenAI tools productively

Requirements:

Support the development of workflows and logic behind private equity and venture capital fund due diligence
Build and iterate prototypes such as dashboards, data upload flows, and analysis views
Implement and validate analytics across the full diligence framework
Collaborate with industry partners to gather requirements, test workflows, and incorporate feedback

Job description

This is a remote position.

Help an innovative fintech team building modern analytics and automation solutions for private markets. In this role, you will combine finance knowledge with hands-on prototyping and help develop data-driven tools for fund diligence and portfolio analytics.

About the job:

Support the development of workflows and logic behind private equity and venture capital fund due diligence
Join an early-stage fintech startup where you‘ll write real code, build analytic tools from scratch, and see your ideas turn into product features used by investors.
Build and iterate prototypes such as dashboards, data upload flows, and analysis views
Implement and validate analytics across the full diligence framework
Collaborate with industry partners to gather requirements, test workflows, and incorporate feedback
Contribute to AI-enabled features that generate insights, summaries, and investment memo support

Your profile:

BSc/MSc in progress in Quantitative Finance, Finance, Computer Science, or a related field
Strong understanding of finance fundamentals (valuation, multiples, fund mechanics, IRR/MOIC)
Coding experience in at least one language (e.g., Python, JS/TS, SQL, R)
Interest in using GenAI tools productively
Strong analytical and problem-solving skills with attention to detail