Research Technology Engineer

Quant Blueprint LLC; Radnor (Delaware County); Hybrid; USD 150,000 - 300,000; Full time

Benefits offered by this job

Bonus

Health and dental plans

401(k) contributions

Discretionary profit sharing program

Job summary

Quant Blueprint LLC is seeking a motivated candidate to develop automated statistical trading models. The position allows for in-person, remote, or hybrid work options.

The ideal candidate will hold a relevant degree and possess programming skills, especially in R, C++, or Python, with a strong interest in financial markets. The annual pay range is between $150,000 and $300,000, with additional compensation such as bonuses and health plans.

Qualifications

• Bachelor's or advanced degree in economics, finance, statistics, mathematics or computer science.
• Programming experience including R, C++, and/or Python.
• Strong working knowledge of regression and time series analysis.
• Experience with large data sets preferred.
• Ability to comprehend academic literature in finance and statistics.

Responsibilities

• Develop and implement automated statistical trading models.
• Conduct statistical data analysis and implement quantitative trading models.
• Participate in research and model development.

Skills

Analytical skills

Quantitative skills

Programming experience (R, C++, Python)

Regression and time series analysis

Data analysis

Communication of complex concepts

Education

Bachelor's or advanced degree in relevant field

Job description

We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.

Primary Responsibilities

• Utilize your analytical and quantitative skills, market knowledge and intuition to develop and implement automated statistical trading models.
• Participate in all aspects of research and trading model development, including generating research ideas, building and analyzing data sets, conducting statistical data analysis and implementing quantitative production trading models.

Requirements

• A bachelor's or advanced degree in a field providing a background in advanced statistical analysis of large data sets (includes, but is not limited to, economics, finance, statistics, mathematics or computer science).
• Programming experience, ideally including R, C++ and/or Python.
• Strong working knowledge of regression, time series analysis and other statistical techniques.
• Experience building, organizing and analyzing large data sets is preferred.
• The ability to comprehend and synthesize academic literature in finance, economics and statistics.
• Strong financial market interest.
• The ability to simplify and effectively communicate complex concepts.

The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.