Quant Developer

Company: Synechron Inc.
Location: Charlotte, North Carolina, United States
Type: Full-time
Posted: 12.OCT.2019


About Synechron: Synechron is one of the fastest-growing digital, business consulting & technology firms in the world. Specialized in finan...


About Synechron:

Synechron is one of the fastest-growing digital, business consulting & technology firms in the world. Specialized in financial services, the business focus on embracing the most cutting-edge innovations combined with expert knowledge and technical expertise has allowed Synechron to reach $500+ million in annual revenue, 8,000 employees and 18 offices worldwide. Synechron is agile enough to invest R&D into the latest technologies to help financial services firms stand at the cutting-edge of innovation; yet, also large enough to scale any global project. Learn more at:

Synechron draws on over 15 years of financial services IT consulting experience to provide expert systems integration expertise and technical development work in highly-complex areas within financial services. This includes: Enterprise Architecture & Strategy, Application Development & Maintenance, Quality Assurance, Infrastructure Management, Data & Analytics and Cloud Computing. Synechron is one of the world s leading systems integrators for specialist technology solutions including: Murex, Calypso, Pega, and others and also provides traditional offshoring capabilities with off-shore development centers located in Pune, Bangalore, Hyderabad, and Chennai as well as near-shoring capabilities for European banks with development centers in Serbia. Synechron s technology team works with traditional technologies and platforms like Java, C++, Python, and others as well as the most cutting-edge technologies from blockchain to artificial intelligence. Learn more at:



The quant position is for someone with the following skills/background

  1. Master s degree (preferably advanced degree) in Financial mathematics or statistics (PhD preferable)
    1. Applied computational economics, financial mathematics, econometrics
  2. Experience in building quantitative models
    1. Experience in Data mining and computational data analysis (preferably using Python or R)
    2. Experience in building and validating ensemble models using statistical algorithms like ANOVA, MCMC, discriminant analysis, association analysis, ALLL etc.,
    3. Experience in sampling and variance reduction techniques, categorical data analysis, hypothesis testing, survival model, longitudinal analysis and high-dimensional data analysis.

Please reach out at for more info...

- provided by Dice

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