Data Software Engineer

  • According to profile and experience
  • Paris, Ile-de-France, France
  • Permanent, Full time
  • Axa Investment Managers - Emplois
  • 23 May 17

We are an active, long-term, global, multi-asset investor focused on enabling more people to harness the power of investing to meet their financial goals. By combining investment insight and innovation with robust risk management we have become one of the largest asset managers in Europe, managing €679bn in assets as of the end of June 2016. We employ about 2,400 people around the world and operate out of 22 countries.

Chorus team strives to build a fully systematic quantitative fund. The team is committed to orchestrate trading, research and infrastructure through clean, maintainable code. The team is composed of experts with skills ranging from system administration, data science, software engineering, coming from various industries from finance, ad-tech and hardware vendors. They believe in agile methodologies, use Kanban in their day to day work, do retrospectives.
Trust and honesty are among their core values; they advocate for free and open communication where everyone can step up.

Key Accountabilities:

-Provide financial data for systematic quantitative trading systems
-Ensure the day-to-day data quality
-Build high performance APIs on large data sets
-Provide support to quantitative researchers developing trading models
-Communicate with data providers to integrate the best available products
-Propose new data sources for trading models

Role Requirements:

-Software Engineering
-Advanced demonstrated skills in Computer Science, Mathematics or related field preferred

-Significant experience in development
-Experience with the quantitative asset management industry is required
-Experience with data used to build financial model is a plus: fundamentals, estimates, short interests, fund holdings, insiders, economic indicators, etc

Knowledge and Skills
-Experience with Pandas is highly appreciated
-Strong SQL knowledge
-Statistics for data sanity analysis
-Understanding of financial instruments (Equity, FX forwards, Futures, IRS...)
-Strong understanding of development methodologies
-Familiarity with tools and best practices in the industry
-The position requires a broad range of skills from data science to software engineering.

-Rigorous and resilient
-Demonstrate ability to change and improve things on a pragmatic basis
-Understand the right balance between quality and productivity
-Flexible mindset - able to build upon and enhance existing tools and practices
-Able to work with a diverse set of profiles or experiences
-Can do attitude
-Effective communication and writing skills

This role can be located either in Paris or Hong Kong