Tech Job Finder - Find Software, Tech 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
Username
E-mail address
Password
Confirm Password
How did you hear about us?
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Quantitative Researcher - Risk (Summer Internship)

at Balyasny

Back to all Other jobs
Balyasny logo
Industry not specified

Quantitative Researcher - Risk (Summer Internship)

at Balyasny

InternshipNo visa sponsorshipOther

Posted 16 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Quantitative Researcher Intern - Risk** Candidates for this 10-week Summer Internship will serve as Quantitative Researchers within our Risk domain. Key responsibilities include designing and conducting statistical studies, developing predictive models using Python and R, and collaborating with data engineering teams to implement models. Familiarity with machine learning algorithms, regression analysis, and financial risk management concepts is required. Experience with risk analysis tools such as Moody's or Fitch, and a strong academic record in a quantitative field are preferred. Ideal candidates should be pursuing a Bachelor's or Master's degree in Statistics, Mathematics, Economics, or a related field. This role offers a unique opportunity to apply quantitative skills to real-world financial risk problems.

Invalid Page

Quantitative Researcher - Risk (Summer Internship)

at Balyasny

Back to all Other jobs
Balyasny logo
Industry not specified

Quantitative Researcher - Risk (Summer Internship)

at Balyasny

InternshipNo visa sponsorshipOther

Posted 16 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Quantitative Researcher Intern - Risk** Candidates for this 10-week Summer Internship will serve as Quantitative Researchers within our Risk domain. Key responsibilities include designing and conducting statistical studies, developing predictive models using Python and R, and collaborating with data engineering teams to implement models. Familiarity with machine learning algorithms, regression analysis, and financial risk management concepts is required. Experience with risk analysis tools such as Moody's or Fitch, and a strong academic record in a quantitative field are preferred. Ideal candidates should be pursuing a Bachelor's or Master's degree in Statistics, Mathematics, Economics, or a related field. This role offers a unique opportunity to apply quantitative skills to real-world financial risk problems.

Invalid Page

SIMILAR OPPORTUNITIES

No similar jobs available at the moment.