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Verified from career page · Posted 4mo ago

IMC

Risk Manager - Digital Assets

IMC · Risk Management (Group)

Switzerland

Mid-level

FinanceMATLABPython

Last seen 2w ago

Posted
4mo ago

Posted on 11 May 2026

Workplace
Not specified

Work model not stated

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

This role has closed 2w ago ago. It's kept as a record — see IMC's open roles or the similar live roles below.

See IMC's open roles

IMC is a proprietary trading firm active in cryptocurrency markets around the clock, every day of the week. To support our expanding trading operations, we are seeking a Risk Manager specialized in digital assets to join IMC Zug. This role suits a detail-oriented individual who can work independently and take ownership of our digital risk management framework. You will have real opportunities to contribute to scaling, refining, and improving our risk processes. Based in Zug, you will be part of our European Risk team, with direct management responsibility for our growing local crypto risk team.

Your Core Responsibilities:

Identify and manage market, credit, and operational risks across IMC's existing and new digital asset activities

Maintain and develop risk monitoring tools to measure and mitigate market and credit risk exposures

Contribute to operational risk management by designing, testing, and implementing key controls to strengthen our risk framework

Develop and implement policies and procedures to manage, control, and optimize these risks

Analyze digital asset market developments and help build, revise, and enhance risk methodologies and processes

Perform risk control self-assessments, including analysis of potential impact and likelihood of risk events

Collaborate daily with Trading, Finance, and Compliance

Why This Role

You enjoy solving problems and tackling complex challenges

You want to provide insights and make decisions that directly impact the company's risk appetite

You want broad exposure to risk across trading, technology, and IMC's quantitative disciplines

You are looking for early responsibility and the freedom to grow

Your Skills and Experience:

3 to 7 years of experience in financial risk management with relevant exposure to digital assets, ideally in proprietary trading or a related area

Genuine interest in and understanding of digital asset market structure, including custodians, exchanges, and DeFi

Experience with a programming language such as Python, MATLAB, or R

Ability to communicate complex topics clearly to business stakeholders

Strong organizational, problem-solving, and time-management skills

Self-starter with a proactive attitude who works well independently and as part of a team

Academic background in a quantitative field such as statistics, physics, or financial mathematics

Location and Office Culture

IMC office in Zug, Switzerland

A dynamic, fast-paced environment with a steady stream of challenges and opportunities

Real responsibility from day one, with the support to make an impact

Flat structure and an open, collaborative culture built on sharing ideas, knowledge, and technology

This role is primarily on-site; remote working options are limited

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.

About IMC

IMC's European engineering is split between Amsterdam and a smaller Zug and London presence. Like the other market makers tracked here, expect low-latency systems work rather than conventional web engineering.

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