Margin Data & Reconciliation Analyst

G MASSLondon, England🇬🇧United KingdomPosted 3 Jul 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to be at the forefront of building critical data handling capabilities for a leading hedge fund, directly impacting strategic solutions and developing your expertise in margin methodologies and Python. You'll thrive here if you possess a strong understanding of prime brokerage and futures margin, enjoy dissecting complex financial data, and are eager to collaborate closely with data engineering teams. Apply now to gain invaluable experience in a dynamic and reputable firm.

Quick Overview

Seniority

Mid Senior

Employment type

Temporary/Casual

Work mode

Hybrid

Location

London, England, United Kingdom

Posted

3 months ago

Data PipelinePythonReconciliation

Job Description

G MASS are partnering with a leading hedge fund to appoint a Margin Data & Reconciliation Analyst on an initial 6-month contract, based in London. Sitting within a Strategic Solutions function, this role is central to building out the firm's broker data handling capabilities, with responsibility for validating, troubleshooting, and codifying the ingestion of direct broker margin files.

You'll act as the connective tissue between intricate margin methodologies, internal accounting systems, and Python-based data engineering pipelines, with the ultimate goal of ensuring the firm's new in-house broker data either matches or knowingly improves upon legacy feeds.

Responsibilities:

Take the lead on investigating margin data discrepancies day to day (Posted, Initial Margin, Variation, and Excess), comparing outputs from the Python replication dashboard against internal golden sources
Dig into raw broker files to get to the bottom of accounting breaks, whether that's a mapping error, a parsing issue, or a more fundamental margin methodology mismatch
Build out and document the underlying calculation logic for margin across different account types (Futures, PB, FIPB, OTC Non-Cleared), factoring in FX conversions for non-USD accounts and any custom aggregation rules
Work hand in hand with Data Engineering, converting business logic into workable Python code and flagging where bugs, mistargeted data, or missing flags are causing issues
Own escalations around structural data gaps, including direct liaison with broker contacts and internal SMEs to sign off on bespoke account treatments
Keep mapping logic, trackers, and supporting documentation current and accurate, ensuring a clear audit trail of how broker files feed into internal systems

Solid grounding in Prime Brokerage, FIPB, and Futures margin mechanics
Confidence working through dense, multi-tab financial data files
Some exposure to data pipeline architecture
A naturally analytical mindset, with the ability to turn business logic into clean, programmatic rules

Length: Initial 6-month contract

Competitive salary