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Eviden

Quantitative Developer

Eviden, Chicago

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Human Resource Specialist at Atos - (Atos is a global leader in digital transformation with 105,000 employees in 73 countries).

Job Role: Senior Quantitative Developer

Location : Chicago

Job Dtails:-

Senior Quantitative Developer

Responsibilities

  • Collaborate with business product owners and quantitative teams to understand help drive technology platform and solutions to meet quantitative and analytics needs for Quant Research business
  • Work on the development of code libraries and solutions that leverage and appropriately augment existing structures to meet the needs of the research-driven investment and analysis processes, often in the absence of clearly documented specifications.
  • Lead and work with developers to identify which interim solutions (e.g., tools, applications, reports, data structures, etc.) have matured sufficiently to transition to a production environment, and produce specifications for such solutions, enabling IT to elevate strategically targeted prototypes to production.
  • Identify and evaluate the most appropriate methods, tools, datasets and technology solutions to address requirements.
  • Partnering with Product owners and Quants to help implement models to inform the investment decision making process
  • Building large scale distributed computing programs to generate insightful analytics and present results in user-friendly visualization
  • Implement standards, processes, and tools for numerical library testing and code quality controls
  • Review implementation of complex models and algorithms focusing on requirement verification and code quality. Conduct code review with peers and model developers and obtain their feedback.
  • Innovate and improve proprietary models and algorithms; design and deliver in terms of high reliability, resiliency and scalability

Tech, business and leadership skills

  • Strong domain skills – Quantitative Research, Risk, Equity Portfolio Management etc.
  • Works in many technologies and adapts fast to new technologies
  • Adept with various architectures including real-time, batch, orchestration
  • Adept with multiple parts of the software lifecycle (e.g., coding, testing, development)
  • Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately
  • Conversant with providing a clear explanation of strategy, technical concepts, designs or implementation to a non-technical audience

Qualifications

  • An advanced Computer Science, Math or Financial Engineering degree from a reputed institution.
  • 12+ years of progressive experience in software engineering and quantitative analysis.
  • Willingness and excitement to learn unfamiliar quantitative subjects or tools/technologies, as required on the job.
  • Strong analytical skills; experience working with and analyzing large data sets, and using necessary libraries like PySpark, Pandas, Polars, Cuml, etc.
  • Proficiency in coding, demonstrated interest in translating algorithms and models into production quality code
  • Expert knowledge in multiple programming language(s) - Python, PySpark, R, Java etc. Python / PySpark is must have expertise
  • Working knowledge of one or more relevant big data cloud computation platform like Databricks
  • Strong Test-Driven Development and desire to write simple, adaptive and iterative code
  • A solid understanding of tradable financial instruments (securities, derivatives) and capital markets
  • An advanced level of relevant mathematical knowledge e.g. statistics, time-series analysis, asset pricing theory, algorithms
  • Experience with algorithms and data structures

Preferred

  • Experience of front office software development with an Asset Management, Hedge fund or Investment Bank
  • Experience building containerized applications and deploying to public or private clouds, such as Microsoft Azure, Amazon Web Services (AWS) or similar providers.
  • Experience of web based development and visualization technology for portraying large and complex data sets and relationships

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology
  • Industries

    IT Services and IT Consulting and Financial Services

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