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Macro Hive (BGC Group)
Macro Hive (BGC Group) is a leading independent provider of global macro strategy. We combine best-in-class human and artificial intelligence to provide institutional investors with market-leading investment opportunities. Our experts leverage large language models, such as those that power chatbots like ChatGPT, to develop innovative, data-driven solutions to complex financial problems and to build state-of-the-art models in search of alpha signals across asset classes.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Data Engineer — Markets & AI Data Platform
Mission
Build the data backbone for AI, quant models and client tools.
Owns
- Market, economic, research, news, internal and Fenics/BGC data pipelines
- Bronze/silver/gold data architecture
- Data quality gates
- Instrument, ticker, country, client, source and theme metadata
- APIs/tables for agents, dashboards and quant models
- Data lineage, entitlements, permissions and monitoring


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Must have
- Strong Python and SQL
- Production ETL/ELT experience
- Cloud data stack: Azure, Databricks, Delta Lake, Snowflake or similar
- Time-series or complex-data experience
- Data quality, monitoring and audit awareness
- Ability to turn messy data into clean model-ready datasets
Nice to have
- Experience with ticker level data using for example kdb+
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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