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Salary
≈ $67k – $200k per year (Estimated)
Location
In office (Zug)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Sep 7, 2026. IMC Trading scores A on the Alion truth index.

Overview
Company
Impact
Profile match
IMC Trading is a proprietary trading firm and market maker headquartered in Amsterdam that trades its own capital, providing liquidity across more than 120 trading venues with in-house trading systems, low-latency infrastructure and machine learning models. Founded in 1989 by two traders on the floor of the Amsterdam equity options exchange, it now employs over 2,000 people of more than 70 nationalities in ten offices, including Chicago, New York, London, Zug, Sydney, Mumbai, Seoul and Hong Kong. It recruits quantitative researchers and traders, software, Python and systems engineers, machine learning researchers, and graduates and interns for its campus programmes.

As the Crypto business is growing at IMC, we need to ensure that our post-trade processes are as scalable and efficient as possible. Hence, we are looking for a Mid Office Associate to play an important role, assisting on day-to-day post-trade operations and gathering business requirements from various stakeholders and working with developers to improve processes.

Note that this is an onsite role in Zug, Switzerland, with very limited flexibility for working from home.

Your Core Responsibilities: 

  • Perform daily reconciliation of positions, trades, and cash/token balances across centralized exchanges (CeFi), decentralized protocols (DeFi), and OTC counterparties.
  • Calculate and substantiate daily P&L across multiple asset types, ensuring valuation methodologies are applied consistently and correctly.
  • Investigate and resolve trade breaks, valuation discrepancies, and settlement issues, identifying root causes.
  • Build and maintain Python-based tools and notebooks to automate recurring reconciliation, reporting, and analysis workflows.
  • Query and manage data across internal databases to support reconciliation, reporting, and ad hoc analysis.
  • Synthesize complex, ambiguous situations, including breaks spanning multiple venues, counterparties, or asset types, into clear, streamlined deliverables for traders and senior management.
  • Partner with technology teams to scope and prioritize enhancements to reconciliation and valuation systems, and to communicate complex operational issues in a clear, actionable way.
  • Gather requirements and data from various stakeholders (Trading, Finance, Risk, Technology) to identify issues and improve Mid Office processes.

Your Skills and Experience: 

  • Bachelor's degree in finance, economics, STEM, or a related quantitative field (or equivalent practical experience).
  • 3+ years of experience in trading operations, middle office, product control, or a related function; crypto/digital asset experience strongly preferred.
  • Python skills, including experience with data libraries (e.g., pandas, NumPy) and building automated workflows, are a plus.
  • Solid understanding of databases and data structures; SQL experience required.
  • Familiarity with CeFi, DeFi, and OTC market structure, including exchange APIs, on-chain data, and bilateral settlement, is a strong plus.
  • Experience with P&L calculation, trade reconciliation, and valuation concepts across asset types.
  • Exceptional attention to detail and a high bar for data accuracy.
  • Excellent written and verbal communication skills, with the ability to explain issues clearly to both technical and non-technical stakeholders.
  • Owner mentality: takes ownership of tasks and projects, with a drive to understand the business beyond own role to add value to the overall business.

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

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