Life at WovenLight
Start where you are, use what you have, do what you can.
Time will multiply whatever you feed it. Good habits make time your ally. Bad habits make time your enemy.
Truth… it’s much too complicated to allow for anything but approximations.
Learn the rules like a professional, so you can break them like an artist.
What we stand for
The things we obsess over as a firm.
Tempo & Rhythm
In sports, elite teams control the game; in movies suspense isn’t created from speeding things up, it comes from slowing things down. As a firm we obsess about mastering the art of good timing.
That Human Touch
We’re nice to work with. We’re (relatively) normal. We have a sense of humour. We’re not arrogant or demanding. We bend over backwards to make things work.
Loops, Not Lines
Never stop learning. One of the most powerful things about data is not the special insight it gives you, but the fact that it gives you a feedback mechanism.
Talent Density
We strive for magnetism; naturally attracting the talent that fits our culture. Recruit exceptional employees. Hire exceptional freelancers. Work with exceptional partners. Great people want to work with you because great people already do.
Reducing Waste
It’s good for the planet, it’s good for our clients, it’s also good for us. Life is too short to spend wasting time, effort or resources.
Flywheels
The process of compounding is a superpower. As a firm we strive to invest in building assets that compound; so that each execution cycle is faster, more precise, more impactful than the last.
Clarity of Purpose
Pinpoint where you can have the greatest impact in the shortest amount of time and deliver. People will see the results and back you as you tackle the harder, deeper opportunities. Decision = Purpose * Context
Performance is our North Star
We’re a performance company first, a technology company second. We deploy cutting-edge IP to help our clients be the best they can be.
The team
Akhil is a Senior Data Scientist at WovenLight, applying machine learning and other analytics techniques to drive operational improvement at WovenLight portfolio companies.
Andrew is Chief of Staff at WovenLight, leading a range of strategic and operational initiatives.
Aris leads analytics at WovenLight, applying cutting-edge data to a wide range of industries.
Devin is a Principal Data Scientist at WovenLight, applying machine learning and other analytics techniques to drive operational improvement at WovenLight portfolio companies.
Fraser joined WovenLight in 2022 as Chief Commercial Officer driven by a belief that the next phase in the evolution of private equity would be heavily impacted by the use of data in all aspects of the investment lifecycle.
Joanna is a Portfolio Operations Principal at WovenLight applying machine learning and other analytics techniques to drive operational improvement at WovenLight portfolio companies.
Konstantinos scopes, designs and coordinates data science workstreams, leading the development of methodologies. He also leads WovenLight's R&D efforts, ensuring its R&D portfolio evolves according to industry's needs.
Martins is a Senior Product Engineer on WovenLight’s Development team, where he develops software to support sourcing, evaluation and diligence of investment opportunities.
Nicola is WovenLight's Executive Assistant and Office Manager, with a broad remit to drive WovenLight forward across HR, finance, legal and many other operational areas.
Oscar is a Data Engineer at WovenLight, applying data and software engineering techniques to drive operational improvement at WovenLight portfolio companies.
Simon founded WovenLight with the purpose of shaping a better world, underpinned by cutting-edge technology and diverse talent.
Vlad is a Senior Machine Learning Engineer at WovenLight, where he focuses on turning analytics plays into well-tested, reusable software components.
We're hiring!
WovenLight believes in diversity of perspective, blending world class data and engineering professionals. If building the next generation value creation firm excites you, we would love to hear from you.