Quantitative Financial Risk Analyst | New Grad
at Susquehanna
Posted an hour ago
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As a New Graduate Quantitative Financial Risk Analyst at Susquehanna, you will build, validate, and audit complex risk models. The role involves collaboration with trading and research teams to ensure model robustness and regulatory compliance within a dynamic trading environment.
New Graduate Quantitative Financial Risk Analyst
As a Quantitative Financial Risk Analyst at Susquehanna, you will have the critical responsibilities of building, validating, and auditing our complex risk models and frameworks. Working closely with trading, quantitative research, and operations, you will ensure that our risk models are robust, compliant, and aligned with both internal and regulatory standards. Your work will be pivotal in challenging and improving our model development processes.
What you can expect from us:
- Real Impact: You’ll be designing and optimizing systems that process massive amounts of data, ensuring high performance and stability.
- Collaboration: Our systems engineers, network architects, technical analysts and software developers work together to create competitive edge through best-in-class technical solutions.
- Growth: Continuous growth and learning, with a focus on innovation and adaptability in a dynamic trading environment.
- Benefits: SIG offers a wide array of employee perks & benefits. Lear more about our workplace culture here.
- Visa sponsorship is available for this position.
What we're looking for
- Education: Graduate degree with coursework on financial risk or risk management.
- Technical Skills: Strong knowledge of mathematical and statistical modeling, with exposure to VaR models, credit risk models, or other quantitative risk models. Proficiency in programming languages such as SQL, Python, R, or MATLAB for risk modeling and data analysis.
- Regulatory Knowledge: Familiarity with SR 11-7 guidelines and other relevant regulatory frameworks.
- Analytical Skills: Advanced analytical skills with the ability to interpret complex large data sets and make informed decisions.
- Communication: Excellent communication and presentation skills, with the ability to explain complex risk concepts to various subsets of the business.
- Attention to Detail: Strong attention to detail and the ability to work under pressure in a fast-paced trading environment.
- Certifications: Industry qualifications such as FRM or PRM are highly desirable.
