About Software Club

Founded in 2019 by Benjamin Forlani, ex-BCG and Senior Advisor @ Astorg Private Equity, Software Club is the highest-level gateway into Software & Technology investing.

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We are one of the fastest growing under the radar companies in Europe, 100% bootstrapped, with a unique model and global leadership ambitions. We have developed a unique expertise on Software & Technology and benefit from exclusive access to the best investment opportunities with a deep focus on B2B Software. Our team gathers top talents with a diverse and international background.

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Our Research & Investment team has the strongest expertise in the ecosystem on B2B Software due diligence, and we are surrounded by a network of mentors including high-profile tech founders and investors.

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We look for

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·       Talents with an excellence and ambitious mindset

·       Individuals eager to learn & pioneer through unchartered territory

·       People who thrive and believe in achieving more as a rock-solid & caring collective

·       Diversity in background, experiences, and skills, with a common interest in software & technology

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Job Description

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Your Opportunity

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Join our Paris-based team to make a direct impact in building proprietary technology that will power our investment execution and support in deploying meaningful insights for public and private software and tech companies, market insights, and trends.

Your Responsibilities

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·      Playa key role in unlocking investment opportunities for tier 1 institutional investors such as Private Equity funds, by finding insights from data related to software & tech companies.

·      Work with the leadership and product team to understand business needs and propose relevant approaches.

·      Extract and transform data about software companies, including financial data (e.g.,revenue, growth, EBITDA, etc.), non-financial data (e.g., description, number of employees, HQ, etc.), and alternative data sets (e.g., Google news, social media, etc.) - from multiple sources including internal databases, webscraping, REST APIs, etc. to prepare for data analysis and modeling.

·      Designand develop Data Science algorithms and Machine Learning models to implement use cases, e.g., designing supervised learning algorithms to classify software & tech companies, implementing algorithms to map relations between companies (e.g., competitors).

·      Contribute to industrializing these use cases to enable embedding insights in our products (Web platforms).

Preferred Experience

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At our firm, we attract motivated, intellectually curious, and rigorous professionals who are passionate about learning and creating impact.

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The ideal candidate will possess the following qualifications:

·      You have a Data Science background

·      You are highly proficient in Python, and you have experience with Machine Learning libraries (e.g., TensorFlow, Scikit-learn, PyTorch, etc.) and ideally with webscraping frameworks such as Scrapy

·      You have experience in training and deploying Machine Learning models

·      You are able to present technical concepts to diverse, technical, and non-technical audiences

·      You like to code following best practices (e.g., clean & simple code, continuous testing, version control)

·      You like working in a team setting

·      You are not afraid of challenges, are proactive and self-motivated

·      You speak English fluently (other languages are a plus)

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We provide

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·      An intellectually fulfilling, evolving, and challenging environment to learn & grow as professionals

·      A true global team mindset & culture, with already 20+ nationalities represented at Software Club

·      A sustainable work-life balance

·      Market leading compensation

·      100% international & English-speaking environment in the center of Paris, Cebu and Cairo

·      Flexiblework policy

Recruitment Process

·      Sendyour application to mdelafon@albertschool.com

·      Introduction interview

·      Case study

·      2 Final interviews with the Head of Data & Investment and Founder

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