Operations Analyst - Mid Office

Posted 3 Hours Ago
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Chicago, IL, USA
Hybrid
Mid level
Fintech • Machine Learning • Software • Financial Services
IMC is a proprietary trading firm powered by research and technology.
The Role
Supports middle-office trade operations by reconciling trades, settlements, P&L, invoices, accounts, balances, and margin requirements. Investigates and resolves trade breaks, coordinates with trading, IT, clearing firms, and risk teams, and supports onboarding of exchanges and platforms. The role also manages datasets, produces reports, identifies automation opportunities, and contributes to operational improvements in a fast-paced financial markets environment.
Summary Generated by Built In
The Middle Office Team at IMC is seeking an Operations Analyst. In this dynamic role, you'll support trade reconciliation and settlement accuracy, help resolve discrepancies, and ensure seamless trade flow across platforms in collaboration with trading and IT teams. As a member of the Middle Office team, you'll build strong foundational knowledge and develop into a go-to resource, learning from senior analysts and contributing to a high standard of operational excellence. You'll play a key role in supporting the trade lifecycle, managing accounts, and calculating P&L, all while contributing to a culture of continuous improvement and automation in a fast-paced environment.
Your Core Responsibilities:
  • Perform intraday and next-day trade reconciliation, ensuring accuracy and timeliness across all activity
  • Calculate and reconcile daily P&L; reconcile monthly invoices with exchanges, clearing firms, and other counterparties
  • Identify and resolve daily trade and settlement breaks; conduct analysis to determine root causes and drive timely corrections at the clearing firm level
  • Understand the trade lifecycle, from execution through final settlement, including all associated fees
  • Work with IT and Trading to ensure proper trade flow, including onboarding new exchanges, clearing firms, and trading platforms
  • Liaise between clearing firms and trading operations; open new accounts and execute position, trade, and cash transfers
  • Monitor high-level account balances and margin/collateral requirements in conjunction with the Risk team
  • Manage and analyze large datasets; create ad hoc and recurring reports to support operational and business needs
  • Maintain an automation mindset, proactively identifying opportunities for improvement and efficiency
  • Collaborate in cross-functional teams to develop solutions across departments and improve quality and efficiency within support
  • Interact daily with other support areas, and build an understanding of key risk, compliance, finance, and legal topics
  • Quickly learn new tools, procedures, and structures, and continually look for ways to improve upon them

Your Skills and Experience:
  • Bachelor's degree in Finance, Economics, Mathematics, or a related quantitative field (B.S. preferred)
  • 2-5 years of experience in financial markets or a trading environment preferred
  • Prior interaction with trading and/or technology groups
  • Strong proficiency in Microsoft Excel and the broader MS Office suite
  • Strong analytical and structured problem-solving skills, with the ability to identify root causes
  • Adaptable and able to manage multiple priorities while working well under pressure
  • Team player with strong communication and stakeholder management skills
  • Ability to gather, synthesize, and communicate business requirements clearly
  • Self-motivated and proactive, with a continuous improvement mindset
  • Strong attention to detail, with solid organizational and prioritization skills
  • Series 99 or 7 required, or a willingness to work towards obtaining within first year of employment
  • Technical skills in data tools or programming languages is a plus (including but not limited to SQL , VBA, Power Query, Python, or QlikSense)

Please note that immigration sponsorship is not offered for this specific opening.

Skills Required

  • Bachelor's degree in Finance, Economics, Mathematics, or a related quantitative field
  • 2-5 years of experience in financial markets or a trading environment
  • Prior interaction with trading and/or technology groups
  • Strong proficiency in Microsoft Excel and the broader Microsoft Office suite
  • Strong analytical and structured problem-solving skills
  • Ability to manage multiple priorities and work effectively under pressure
  • Strong communication and stakeholder management skills
  • Ability to gather, synthesize, and communicate business requirements clearly
  • Self-motivated and proactive with a continuous improvement mindset
  • Strong attention to detail, organization, and prioritization skills
  • Series 99 or Series 7 license, or willingness to obtain one within the first year
  • Technical skills in SQL, VBA, Power Query, Python, QlikSense, or similar data tools

What the Team is Saying

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The Company
HQ: Amsterdam
1,954 Employees
Year Founded: 1989

What We Do

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 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.

Why Work With Us

At IMC, the best ideas win, regardless of hierarchy. Graduates receive mentorship and make an impact from day one, while experienced hires get to shape their own path in a flexible, high-performance environment. We remove barriers so everyone can grow and help drive one of the world’s leading liquidity providers.

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About our Teams

IMC Trading Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 60 % of the time
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