Full-Stack Python Application Developer

Industry: Finance
Remote
Company size: 251-10K
Full-time/Part-time
salary
Not disclosed

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Job description

An NYSE-listed global investment company helping customers navigate the turbulence of financial markets is looking for a Full-Stack Python Application Developer. The selected candidate will be responsible for providing technology solutions for the company’s buy-side Multi-Asset Solutions unit. The company has more than $730 bn in assets under its management so far. They offer clients around the world top-quality research and various investment services. This is an amazing opportunity for developers to work for a well-established company and build a brilliant career.

 

Job Responsibilities:

  • Create a 3-tiered application for use by portfolio managers in managing their portfolios, analyzing risks and return characteristics, evaluating what-if analysis, and creating trades
  • Design data structures and ETL processes for several functions
  • Develop middle-tier services to conduct quantitative allocations on the services
  • Take full ownership of projects, handle the analysis, technical design and implementation, and other multiple tasks
  • Develop a caching layer for prompt access to essential data
  • Develop a front-end for portfolio managers to interact with the data and services

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a full-stack developer
  • 3+ years of experience working with SQL in relational databases such as SQL Server, Sybase, or Oracle
  • 3+ years of experience in Python and its core quant libraries, including pandas, NumPy, and Scipy
  • 3+ years of building web-based front-end, including mandatory experience in Plotly/Dash and React.js
  • Strong analytical, quantitative, and communication skills
  • Software engineering skills, including object-oriented design and application of design patterns
  • Profound working ethics to collaborate with senior quantitative analysts and business partners
  • Excellent documentation skills and ability to share work done to aid in long-term support
  • Experience working with investments data and tools is nice to have
  • Prior experience working with equities, commodities, currencies, futures, swaps, options, and fixed-income instruments is preferred
  • Competency with risk model calculations like VaR, risk decomposition, stress testing, and performance attribution is desirable
  • Nice to have some experience with Redis, Airflow, Docker, and Kubernetes

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