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Technology Operational Risk Management Jobs (NOW HIRING)

As an Individual Contributor, this role is responsible for leading operational risk management activities and influencing the development of a strong and sustainable control environment. This ...

This role focuses on market access and pre-trade risk controls, trading limit review and control testing, and operational/trading incident management, working directly with Trading, Technology, Risk ...

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Technology Operational Risk Management information

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How much do technology operational risk management jobs pay per year?

As of Sep 10, 2026, the average yearly pay for technology operational risk management in the United States is $120,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $159,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Technology Operational Risk Management job openings in the United States as of June 2026, with employment types broken down into 52% Full Time, and 48% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,706 per year, or $58 per hour.

Operational Risk Management

Bala Cynwyd, PA โ€ข On-site

Susquehanna International Group, LLP
Finance and Insuranceย โ€ขย 1 - 5K employees

Other

Posted 8 days ago


Job description

Overview

We are looking for a highly organized and motivated individualto support the development and execution of our Internal Controls and Operational Risk Management framework. This role offers hands-on exposure to enterprise risk processes, control testing, risk reporting, and incident tracking.

Key Responsibilities

  • Risk & Controls Support
    • Assist in performing control testing and walkthroughs to assess control design and effectiveness.
    • Help maintain the internal control library and documentation (e.g., narratives, risk/control matrices).
    • Support facilitation of Risk and Control Self-Assessments (RCSAs) with first-line teams.
    • Record, track, and help analyze operational incidents and loss events.
    • Run scenario analysis
  • Data & Reporting
    • Collect and maintain risk and control data in internal systems.
    • Contribute to the preparation of dashboards, scorecards, and risk reports for senior stakeholders.
    • Support Key Risk Indicator (KRI) monitoring and escalation processes.
  • Operational Risk Processes
    • Log and follow up on risk issues, remediation plans, and audit findings.
    • Assist in reviewing vendor risk data, business continuity documentation, and third-party controls.
    • Help ensure compliance with internal risk policies and procedures.
What weโ€™re looking for

Required Qualifications

  • Industry experience in market making, algorithmic trading, or proprietary trading is strongly preferred, along with relevant familiarity with industry-specific regulatory frameworks.
  • 5-7 years of experience in operational risk, compliance, audit, or a related operational role.
  • Basic understanding of risk and control concepts (e.g., preventative vs. detective controls, risk assessments).
  • Strong organizational and documentation skills.
  • Proficiency in Microsoft Office, especially Excel, and familiarity with data analysis tools.
  • Visa sponsorship for work authorization is not available for this position now or in the future.

Preferred Qualifications

  • Exposure to internal audit, controls testing, or regulatory compliance is a plus.
  • Interest in pursuing professional certifications (e.g., CRMA, CIA, CISA).

Key Competencies

  • Detail-oriented and process-driven
  • Strong communication skills
  • Problem-solving mindset
  • A proven ability to manage competing priorities in a challenging, fast-paced environment
  • Discretion and integrity in handling sensitive data

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

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