Man Group
Also listed as 3 other names
Man · Man Group (ArcticDB) · Man Group - ArcticDB
Circuit mix
Where Man Group shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Alt data & financial information53%19 events
- Python & R data science42%8 events
- Software engineering6%2 events
The year around now
Conferences where Man Group sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|
| Neudata Data Summits | ||||||||
| PyData | ||||||||
| Alternative Data Conference | ||||||||
| BattleFin Discovery Day | ||||||||
| EuroPython | ||||||||
| QCon |
Activity by year
Three measures on one year axis; each panel has its own scale.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Platinum
- Gold
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
Moved down 1
Best tier fell between the first and latest year with a ranked tier.
- PyDataPlatinum 2019 → Gold 2025
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- EuroPythononce, 2019, unranked tier
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- Picnic0.85
- Capital Fund Management0.80
- Explosion0.80
- Heidelberger Druckmaschinen0.79
- The Institute for Ethical AI & Machine Learning0.77
- GetYourGuide0.76
- Inria0.75
- ZEISS0.73
17 Cluster: PyData · QCon circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 7 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Tesco | 5 | 71% |
| Anaconda | 4 | 57% |
| Hopsworks | 4 | 57% |
| Bloomberg | 3 | 43% |
| Coiled | 3 | 43% |
| 3 | 43% | |
| IMC | 3 | 43% |
| JetBrains | 3 | 43% |
| NVIDIA | 3 | 43% |
| Anvil | 2 | 29% |
| Booking.com | 2 | 29% |
| Data Umbrella | 2 | 29% |
| Databricks | 2 | 29% |
| Deliveroo | 2 | 29% |
| JPMorgan Chase | 2 | 29% |
Neighborhood: companies with nearby conference footprints
Man Group (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 7
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyData Global 2025 | Dec 9–11, 2025 | — | Gold | Gold |
| PyData London 2024 | Jun 14–16, 2024 | London, United Kingdom | Platinum | Platinum |
| PyData London 2023 | Jun 2–4, 2023 | London, United Kingdom | Platinum | Platinum |
| PyData London 2022 | Jun 17–19, 2022 | London, United Kingdom | Platinum | Platinum |
| PyData Global 2021 | Oct 28–30, 2021 | — | Platinum | Platinum |
| PyData London 2019 | Jul 12–14, 2019 | London, United Kingdom | Platinum | Platinum |
| EuroPython 2019 | Jul 8–14, 2019 | Basel, Switzerland | Sponsor | Other |
Speakers 29
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Jahmal Nicholson | BattleFin Discovery Day London 2026 | speaker | — | — |
| Jahmal Nicholson | London Traditional and Market Data Summit 2026 | speaker | The machine consumer: Can traditional licensing survive agentic workflows? | — |
| Lauren Woodfin | London Traditional and Market Data Summit 2026 | moderator | The great blur: When traditional data becomes alternative and vice versa | — |
| Matthew Bell | London Traditional and Market Data Summit 2026 | speaker | A strategic data framework for approaching the modern commodities markets | — |
| Matt Rowe | New York Summer Data Summit 2026 | speaker | Turning down the noise: Finding trusted data in an era of misinformation | — |
| Jahmal Nicholson | Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group | speaker | — | — |
| Matthew Bell | Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group | speaker | — | — |
| Abigail McInnes | London Data Summit 2026 | speaker | Data sourcing and vendor engagement: Trends and best practices in 2026 | — |
| Jahmal Nicholson | London Data Summit 2026 | speaker | Optimising textual inputs for quantitative investment strategies | — |
| Matthew Bell | London Data Summit 2026 | speaker | AI at work: Transforming research workflows | — |
| Paul Kamenski | BattleFin Discovery Day London 2025 | speaker | — | — |
| Abigail McInnes | Traditional and Market Data Summit 2025 | speaker | Transparency in licensing and pricing | — |
| Tom Zhang | Hong Kong Data Summit 2025 | speaker | Feed the Quants | — |
| Alex Seaton | QCon London 2025 | speaker | How to Build a Database Without a Server | — |
| Aditi Sawhney | London Data Summit 2025 | speaker | Patterns and predictions: Unlocking the power of consumer data | — |
| Vronsky Wikramanayake | BattleFin Discovery Day London 2024 | panelist | Using data to predict and track Company KPIs | — |
| James Munro | QCon London 2024 | speaker | Why a Hedge Fund Built Its Own Database | — |
| Jahmal Nicholson | London Data Summit 2024 | speaker | Alternative Data for Discretionary Investors | — |
| James Munro | London Data Summit 2024 | speaker | Solving Large-Scale Data Issues in Systematic Hedge Funds | — |
| William Dealtry | EuroPython 2023 | talk | Python interoperability: building a Python-first, petabyte-scale database | Video |
| Tom Taylor | UNBOUND New York 2023 | speaker | Future of Asset Management - ArcticDB - A High Performance Dataframe Database For Real-World Data Science Challenges | — |
| Grishan Sivakumaran | London Data Summit 2023 | panelist | Panel: The data buying cycle | — |
| Abby McInnes | London: Data Insights and Scouting Summit 2022 | speaker | SimilarWeb Use Case | — |
| Gary Collier | Eagle Alpha INTERACT 2.0, February 2022 | panelist | Data Science Corner: Cloud, data warehousing and data science applications - future proofing data decisions in the asset management industry | — |
| Abby McInnes | Data Insights & Scouting Summit 2021 (Winter) | speaker | — | — |
| Hinesh Kalian | Data Insights & Scouting Summit 2021 (Autumn) | speaker | — | — |
| Hinesh Kalian | Neudata Autumn Online Summit 2020 | speaker | — | — |
| Hinesh Kalian | Eagle Alpha Virtual Data Conference, May 2020 | panelist | Time Is Money - Compressing The Onboarding Process And Time To Insights | — |
| Alla Maher | PyData London 2019 | talk | Kafka in Finance: processing >1 Billion market data messages a day | — |