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Commodities Python Engineer

Verition Group LLC

London

On-site

GBP 80,000 - 100,000

Full time

11 days ago

Job summary

A leading hedge fund in London is seeking an experienced software developer to join the Commodities Technology team. You will collaborate with risk management and portfolio management teams to design and develop trading tools. The ideal candidate has over 6 years of experience in software development, particularly in Python and data analysis. This role offers a dynamic environment where you can leverage your technical skills in a collaborative setting.

Qualifications

  • 6+ years of experience in full stack software development.
  • Proficiency in server-side Python programming.
  • Proficiency in data analysis using Pandas, Numpy, SciPy.

Responsibilities

  • Collaborate with risk management and portfolio management teams.
  • Design and develop trading tools and systems.
  • Work with cross-functional teams on technology initiatives.

Skills

Full stack software development
Server-side Python programming
Data analysis using Pandas
Object-oriented design
Distributed systems architecture
Database design and programming
AWS system architecture
Caching technologies
CICD pipeline programming
Problem-solving
Communication skills

Tools

MySQL
AWS S3
Redis
Jenkins

Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

We are seeking a talented software developer to join Commodities Technology team. The successful candidate will play an integral role in firm's commodities technology build out and collaborate closely with members of the technology, risk management and portfolio management teams. This is an exciting opportunity to contribute to the development of strategic systems and support a growing and dynamic business.

Responsibilities:

  • Collaborate with the risk management and portfolio management teams to understand their business requirements and translate them into technology solution.
  • Collaborate with the technology teams to identify and leverage strategic data, frameworks and solutions.
  • Design, develop, test and support commodity trading tools and systems encompassing pricing and risk analytics, data flow, data storage and distribution, visualization etc.
  • Collaborate closely with developers, DevOps, technology leaders, risk managers and portfolio managers to ensure alignment between technology initiatives and business objectives.
Required Qualifications:
  • 6+ years of experience in full stack software development.
  • Proficiency in sever side Python programming.
  • Proficiency in data analysis using Pandas, Numpy, SciPy etc.
  • Experience with object oriented design, distributed systems architecture, performance tuning.
  • Experience with designing and programming relational database such as MySQL, RedShift, Oracle SQL Server, or Postgres.
  • Experience with AWS based system architecture covering S3, EKS, EC2, Batch, or Airflow etc.
  • Experience with caching and messaging technologies such as, Redis, Hazelcast, MQ, or Kafka etc.
  • Experience with programming within a CICD pipeline such as Git, Jenkins etc.
  • Strong problem-solving and troubleshooting skills and ability to work in a collaborative, fast-paced environment.
  • Excellent communication skills with the ability to work closely with cross-functional teams.
Good-to-have Qualifications:
  • Experience with other object oriented programming languages such as Java, C#, or C++.
  • Experience with quantitative development in the financial industry and familiarity with pricing model, risk model, analytics, Greeks, value at risk etc.
  • Familiarity with commodities trading business.
  • Experience with security data, reference data, price data, risk measure data etc.
  • Experience with user interface development and charting.
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