LOG IN
SIGN UP
Tech Job Finder - Find Software, Technology Sales and Product Manager Jobs.
Sign In
OR continue with e-mail and password
E-mail address
Password
Don't have an account?
Reset password
Join Tech Job Finder
OR continue with e-mail and password
E-mail address
First name
Last name
Username
Password
Confirm Password
How did you hear about us?
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Quantitative Financial Risk Analyst | New Grad

at Susquehanna

Back to all Python jobs
Susquehanna logo
Proprietary Trading

Quantitative Financial Risk Analyst | New Grad

at Susquehanna

GraduateVisa sponsorship availablePython

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

New Graduate Quantitative Financial Risk Analyst responsible for building, validating, and auditing complex risk models and frameworks. Work closely with trading, quantitative research, and operations to ensure models are robust, compliant, and aligned with internal and regulatory standards (e.g., SR 11-7). The role involves statistical and mathematical modeling, large-scale data analysis, and programming (Python, SQL, R, MATLAB) to improve model development processes and risk controls.

JOB DESCRIPTION
Overview

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.

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.

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

Quantitative Financial Risk Analyst | New Grad

at Susquehanna

Back to all Python jobs
Susquehanna logo
Proprietary Trading

Quantitative Financial Risk Analyst | New Grad

at Susquehanna

GraduateVisa sponsorship availablePython

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

New Graduate Quantitative Financial Risk Analyst responsible for building, validating, and auditing complex risk models and frameworks. Work closely with trading, quantitative research, and operations to ensure models are robust, compliant, and aligned with internal and regulatory standards (e.g., SR 11-7). The role involves statistical and mathematical modeling, large-scale data analysis, and programming (Python, SQL, R, MATLAB) to improve model development processes and risk controls.

JOB DESCRIPTION
Overview

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.

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.

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.