Bright minds,
sharp solutions

Luxoft is a global IT service provider of innovative technology solutions that delivers measurable business outcomes to multinational companies. Its offerings encompass strategic consulting, custom software development services, and digital solution engineering. Luxoft enables companies to compete by leveraging its multi-industry expertise in the financial services, automotive, communications, and healthcare & life sciences sectors. For more information, please visit the website.

Line of Business:

Financial Services


Senior Python Developer

Project Description

Project for one of the global investment management firm managing approximately $35.4 billion in assets as of April 1, 2018. Firm has more than 2,400 employees with offices in the United States, Europe and Asia.

Teams work collaboratively to drive the production of trading algorithm and financial strategies - the foundation of a sustainable, global trading platform.

To enable and control trading teams, our core infrastructure platform is always seeking leading talent to evolve and scale offerings.

What we offer:
• Flexible schedule
• Business trips to NYC
• Exciting challenges and unique experience in the one of the largest hedge funds
• Various professional development programs
• The friendly team of professionals


• Development for new functionalities, implementing technical improvements, performing refactoring and optimizations
• Performing solution design and code reviews
• Develop documentation (technical, developer’s) for new functionality



• 5+ years of development experience in Python
• 5+ years of Java or C++
• Strong understanding of algorithms and data structures
• Savvy with data science stack (pandas, numpy, scipy), multiprocessing, data caching
• Results-oriented, can deliver quality code with quick turnaround
Self-starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure

Nice to have

• Working experience with R
• Comfortable with Math/Statistics at least at university program level
• Data Science/Analysis background
• Proficient at working with large datasets
• Expertise in creating and modifying cross-language systems
• Familiarity with quantitative finance concepts such as portfolio optimization
• Understanding of distributed/cloud computing technologies and emerging computing trends


  • English: Pre-intermediate

Relocation package

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