Quantitative Research Analyst - Quantitative Analytics Unit

Risk Professionals, Inc.; New York (NY); On-site; USD 90,000 - 125,000; Full time

Job summary

The Office of Risk Analysis (ORS) within the Division of Examinations seeks a Quantitative Research Analyst (Financial Engineer) in New York, NY. This role applies advanced mathematics, statistics and data science to monitor securities laws violations and support EXAMS.

You will work with modern languages like Python, R, C#, C++, and q/kdb+ on large datasets, communicate complex concepts to non-technical audiences, and help develop methods to detect fraudulent or disruptive trading.

Qualifications

• Degree in Mathematics, Statistics, or Actuarial Science required at baccalaureate level.
• Combination of education and experience acceptable per the posting.
• At least one year of specialized experience equivalent to GS/SK-13.
• Experience applying quantitative research to financial data; AI/ML; coding in Python/R/C/C++/C#/kdb+/Linux.

Responsibilities

• Lead development and application of text analytics, AI, LLMs, RAGs, and Fine-Tuning.
• Work in Python, R, C#/C++, q/kdb+ or functional languages on analytics projects.
• Explain technical concepts to non-technical audiences in an examination context.
• Research analysis of investment returns, risk and derivatives using math and coding.
• Develop modeling to identify manipulative or disruptive trading; support examinations.

Skills

Python

R

C#

C++

q/kdb+

Text analytics

AI/ML

LLMs

RAGs

Fine-Tuning

Education

Mathematics / Statistics / Actuarial Science

Tools

q/kdb+

Linux

Cloud environments

Python

Job description

The Office of Risk Analysis (ORS) within Division of Examinations is seeking a Quantitative Research Analyst (Financial Engineer), SK-1501-14 in New York, NY. The Quantitative Analytics Unit (QAU) within ORS is responsible for quantitatively driven analytical projects supporting EXAMS. The QAU applies mathematics, statistics, machine learning, AI and other modern data science methods to further the Division's monitoring and identification of securities laws violations.

Duties

In this role as a Quantitative Research Analyst, you will be responsible for:

• Being at the forefront of the Division's development and application of text analytics, AI, LLMs, RAGs, Fine-Tuning;
• Working in modern programming languages such as Python, R, C#/C++, q/kdb+ or functional languages on data analytics projects;
• Communicating highly technical concepts and issues, including model parameters, to non-technical audiences in an examination context;
• Researching areas such as the analysis of investment returns, risk and derivatives instruments, employing financial theory, applied mathematics, and hands-on coding;
• Developing sophisticated modeling to help identify manipulative or disruptive trading; and
• Support active examinations of registered entities for which advanced analytic methods are required.

BASIC REQUIREMENT:

• Degree: Mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
• ORCombination of education and experience: Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience.
• MINIMUM QUALIFICATION REQUIREMENT: In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement SK-14: Applicant must have at least one year of specialized experience equivalent to the GS/SK-13 level. Specialized experience includes the following:
• Applying the theories, principles, and processes of quantitative research to financial and securities industry data; AND
• Utilizing AI, LLMs, machine learning; AND
• Modeling and coding in languages such as Python, R, C/C++/C#, kdb+/q in Linux and cloud environment; AND
• Manipulating large data sets to develop hands-on programmatic applications of probability and statistics.