Java Developer

Engineers Gate
·
Posted: 
June 2, 2023
·
Onsite
Job Commitment
Full-time
Job Commitment
Mid Level
Job Function
Dev & Engineering
Salary
N/A
Job Commitment
Full-time
Experience Level
Mid Level
Workplace Type
Onsite
Job Function

This job is closed

We regret to inform you that the job you were interested in has now been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

About the position

The Java Developer will join Engineers Gate, a leading systematic quantitative investment company, in their Exeter office. They will be part of a small and fast-moving team that is responsible for creating and supporting a cutting-edge research and trading platform. This platform is used by the company's researchers to develop advanced trading strategies and seamlessly transition them into live trading. The successful candidate should be highly motivated, skilled, and innovative, with several years of experience preferred but not required.

Responsibilities

  • Develop production code to enhance the research and trading platform, ensuring robustness against runtime errors.
  • Collaborate with researchers to identify, define, implement, and test new requirements.
  • Support the creation and maintenance of a performant and highly available system for advanced trading strategies.
  • Facilitate a reliable, repeatable, and simple transition of models into live trading.
  • Utilize Java 8 and various AWS technologies to build and deploy the platform.
  • Optimize models, test and record results, and work with a wide range of datasets.
  • Contribute to a small and fast-moving team with a flat management structure and minimal bureaucracy.
  • Demonstrate high motivation, skill, and innovation in the role.
  • Collaborate with the New York and Exeter offices to ensure seamless operation of the trading team.

Requirements

  • Experience in Java development
  • Familiarity with Java 8
  • Knowledge of AWS technologies such as Redshift, DynamoDB, RDS (Postgresql), Lambda, SNS, SQS, S3, Autoscaling
  • Ability to develop production code for a research and trading platform
  • Strong problem-solving skills
  • Ability to work closely with researchers to identify, define, implement, and test new requirements
  • Motivated, skilled, and innovative mindset
  • Strong attention to detail and ability to provide exceptional robustness against runtime errors

Benefits

  • Joining a leading systematic quantitative investment company
  • Working with a team of researchers, engineers, and financial industry professionals
  • Access to a proprietary, state-of-the-art technology and data platform
  • Opportunity to implement scientific and mathematical methods in global financial markets
  • Joining a successful automated trading team
  • Working with cutting-edge research and trading platform
  • Opportunity to work with advanced trading strategies
  • Opportunity to transition models into live trading
  • Working with Java 8 and a wide range of AWS technologies
  • Small and fast-moving team with a flat management structure
  • Highly motivated, skilled, and innovative work environment
  • Opportunity for growth and development
  • Supportive and collaborative work culture

Job Application Resources

No items found.

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Engineers Gate

Engineers Gate is a team of researchers and financial industry experts with a focus on obtaining investment with systematic strategies.
Location
New York, NY
Company Size
101-250
Workplace Type
Industries
Finance
Financial Services
Lending and Investments
Open Roles
5
Less details
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Engineers Gate

Engineers Gate is a team of researchers and financial industry experts with a focus on obtaining investment with systematic strategies.
Company Overview

Engineers Gate is a team of researchers and financial industry experts with a focus on obtaining investment with systematic strategies.

Benefits
  • Opportunity to work within a small team of experienced quantitative researchers
  • Apply scientific research skills to real-world applied problems
  • Continuous learning and development
  • Work with massive data sets and cutting-edge methods and technologies
Less details

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