Quantitative Engineer - Investment (W2 only)

PTR Global; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

PTR Global is seeking a Principal Embedded Tactical Engineer in New York to join their investment team. This role will involve developing small scale applications aimed at enhancing market analysis and investment strategies. The ideal candidate will have extensive experience in Python, strong analytical skills, and a deep understanding of financial markets and investment instruments, working closely with portfolio managers and traders in a hybrid environment.

Qualifications

• 5+ years of Python programming experience for financial datasets.
• Experience with financial data platforms like Bloomberg, FactSet, Aladdin.
• Understanding of financial markets and investment strategies.

Responsibilities

• Embed within an investment team to develop and deploy applications.
• Implement solutions to improve market analysis and investment strategies.
• Collaborate with portfolio managers and traders.

Skills

Problem-solving

Communication

Attention to detail

Full-stack development

SQL

Statistical analysis

Tools

Python

pandas

NumPy

Git

Job description

Quantitative Engineer - Investment (W2 only)

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Job Title: Principal Embedded Tactical Engineer

Location: Boston, MA or New York City (Boston strongly preferred, this Boston-based role has a hybrid work arrangement (2 days per week in office))

Duration: 12 months contract with possible conversion to FTE

Job Description:

• Client is seeking a highly skilled and motivated Principal Embedded Tactical Engineer with expertise in Fixed Income, Private Credit, Private Equity, and/or Investment Risk to join our prestigious investment firm.
• As an Embedded Tactical Engineer, candidate will embed directly within an investment team and work alongside portfolio managers, traders, and other members of the team to develop, implement, and deploy to production small scale applications, proof of concepts, and prototypes that will help improve market analysis, develop investment strategies, and enhance decision-making processes.

Qualifications:

• Excellent problem-solving skills, with the ability to think critically, independently, and act with minimal handholding.
• Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders.
• Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment.
• Full-stack development knowledge with a minimum of 5 years professional experience programming in Python demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets.
• Experience with key Python Libraries (pandas, NumPy) required.
• Experience using Version Control (Git) required.
• Strong SQL skills required with a familiarity of financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront), financial databases, and data manipulation techniques preferred.
• Experience with statistical and time-series data analysis using pythonic libraries (such as Scikit-Learn, SciPy, cvxpy) is preferred.
• Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics
• A solid understanding of financial markets, investment instruments (including Equities, Fixed Income, Derivatives, Private Alternatives), portfolio construction, performance and attribution, and investment strategies.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology, Analyst, and Other
• Industries: Investment Banking, Banking, and Insurance

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