Mid Office Associate (Digital Assets)

Location: Onsite in Zug, Switzerland, with very limited flexibility for working from home

Company

hirify.global is a research-driven trading firm using quantitative modeling, machine learning, engineering, proprietary technology, and algorithms to provide liquidity across global markets.

What you will do

• Perform daily reconciliation of positions, trades, and cash or token balances across CeFi, DeFi, and OTC counterparties.
• Calculate and substantiate daily P&L across multiple asset types using consistent valuation methodologies.
• Investigate trade breaks, valuation discrepancies, and settlement issues, identifying root causes.
• Build and maintain Python-based tools and notebooks for recurring reconciliation, reporting, and analysis workflows.
• Query internal databases to support reconciliation, reporting, and ad hoc analysis.
• Partner with Trading, Finance, Risk, and Technology stakeholders to improve mid-office processes and systems.

Requirements

• 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.
• SQL experience and a solid understanding of databases and data structures.
• Experience with P&L calculation, trade reconciliation, and valuation concepts across asset types.
• Excellent written and verbal communication skills, with the ability to explain complex issues to technical and non-technical stakeholders.
• Strong attention to detail, data accuracy, and ownership of tasks and projects.

Nice to have

• Experience with crypto or digital assets.
• Python skills, including pandas, NumPy, and automated workflow development.
• Familiarity with CeFi, DeFi, OTC market structure, exchange APIs, on-chain data, and bilateral settlement.

Culture & Benefits

• Work in a research-driven trading environment shaped by quantitative modeling, machine learning, and engineering.
• Collaborate with researchers, traders, and engineers across proprietary systems and algorithms.
• Work on post-trade processes supporting trading across global markets.