Python Developer - Aladdin Enterprise

10xTalents; Newark (NJ); On-site; USD 100,000 - 130,000; Full time

Job summary

A financial technology firm is seeking a highly skilled Python Developer with extensive experience in front office systems development. In this hybrid role based in Newark, you will leverage your expertise in Python, Java, and SQL, while utilizing AWS for scalable solutions. The ideal candidate will have strong fixed income knowledge, analytical skills, and direct experience supporting Portfolio Managers and Quantitative Analysts. If you are passionate about financial systems and Python development, we invite you to apply!

Qualifications

• 7+ years of experience developing front office systems with Java, Python, and SQL.
• Strong fixed income knowledge and portfolio/trading model experience.
• Proven analytical and problem-solving skills in a dynamic environment.
• Direct experience supporting front office end-users such as PM and Quant.

Responsibilities

• Utilize Python and Java expertise for front office systems development.
• Leverage in-depth knowledge of financial datasets for informed decision-making.
• Provide direct support to front office end-users, including PMs and Quants.
• Build microservices architecture using the Spring Boot framework.

Skills

Python Programming

Java Development

SQL

Analytical Skills

Problem Solving

AWS Cloud

Microservices

React.js

SDLC Tools

Education

Bachelor's degree in Computer Science, Finance, or a related field

Tools

Git

Jira

Docker

Jenkins

Job description

About the job Python Developer - Aladdin Enterprise

• Full-time, direct employment
• Hybrid onsite/remote - Newark, NJ
• No visa sponsorship or C2C at this time
  

Job Description

Our client isseeking a highly skilled Python Developer with Aladdin Enterprise experience to join their team. The ideal candidate will have extensive experience in developing front office systems with Java, Python, and SQL, along with a strong background in fixed income and portfolio/trading model construction. The candidate should possess excellent analytical skills, problem-solving abilities, and a proactive mentality to thrive in our fast-moving and dynamic environment.

Responsibilities

• Front Office Systems Development: Utilize Python and Java expertise to develop front office systems, focusing on fixed income instruments, portfolio management, and trading model construction.
• Data Knowledge: Possess in-depth knowledge of datasets from financial data providers such as Bloomberg, MSCI, ICE, JPM, S&P, Moodys Reuters, etc., and utilize this data to inform decision-making and model construction.
• Analytical Skills: Demonstrate strong analytical and problem-solving skills to tackle complex challenges in a fast-moving and dynamic environment.
• Proactive Mentality: Take ownership of tasks and projects, proactively identifying opportunities for improvement and driving initiatives to enhance business outcomes.
• SDLC Tools: Leverage extensive knowledge and experience with SDLC tools such as Git, Jira, Docker, Jenkins, etc., to streamline development processes and ensure high-quality deliverables.
• AWS Cloud Experience: Utilize AWS cloud services to build scalable and reliable solutions, leveraging cloud-native technologies to enhance performance and efficiency.
• Investment Universe Customization: Customize investment universes and conduct backtesting to evaluate portfolio strategies and trading models.
• Front Office End-User Support: Provide direct support to front office end-users, including Portfolio Managers (PM) and Quantitative Analysts (Quant), to understand their needs and deliver tailored solutions.
• Microservices Development: Build microservices architecture using the Spring Boot framework to enable modular and scalable application development.
• Web Application Development: Utilize React.js to build web applications with modern user interfaces and responsive designs.

Qualifications

• Bachelor's degree in Computer Science, Finance, or a related field.
• 7+ years of experience in developing front office systems with Java, Python, and SQL.
• Strong fixed income knowledge and experience in portfolio and trading model construction.
• In-depth knowledge of datasets from financial data providers such as Bloomberg, MSCI, ICE, JPM, S&P, Moodys Reuters, etc.
• Proven analytical and problem-solving skills within a fast-moving and dynamic environment.
• Proactive mentality with a strong sense of ownership and accountability.
• Extensive knowledge and experience with SDLC tools such as Git, Jira, Docker, Jenkins, etc.
• AWS cloud experience, including familiarity with cloud-native services and technologies.
• Experience in investment universe customization and backtesting.
• Direct experience supporting front office end-users (PM, Quant).
• Experience with building microservices using the Spring Boot framework.
• Experience in building web applications using React.js.

If you meet these qualifications and are passionate about Python development and financial systems, we encourage you to apply for immediate consideration.