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Quantitative Engineer at SIMON Markets (New York, NY)

We are looking for outstandingQuantitative Engineers to join our New York team,who can quickly grasp complex and fluid business problems and solve them with elegantly designed, robust, reliable, highly-performant, and highly readable code. If you love using the latest technologies, working on creative software projects, and/or thinking about innovative new business plans in your spare time, read on. 


Our engineers are world leaders in solving complex business problems using mathematics and engineering skills. We are working to aggressively expand SIMON’s platform and add several other managed-risk asset classes for which our technology can drive similarly revolutionary productivity gains in areas such as marketing, distribution, trading, analytics, and portfolio management. 


This is a unique opportunity to be an integral part of a high-growth, best-in-class, FinTech endeavor, and directly impact the forward trajectory of the firm’s success. 


We are looking for versatile, enthusiastic individuals, able tofluidly adapt to new challenges and problem solve in a fast-paced and collaborative environment. Here are some examples of what you can expect: 


Responsibilities



  • Leverage open-source technologies and cloud solutions to build elegant features that SIMON platform users love

  • Design and implement elegant and easy-to-scale code, models, and schema that capture the economics of deeply complex financial instruments

  • Collaborate with other engineersto research and implement state-of-the-art pricing and analytics features electronically accessible on the SIMON platform

  • Generate and expand SIMON’s creative and reliable solutions to all asset classes, as well as product issuers, wholesalers, and distributors

  • Coordinate closely with sales and product development teams daily to push SIMON’s FinTech strategy and improve the overall profitability of our business. 


Basic Qualifications



  • Bachelor’s Degree in Computer Science, Mathematics, Statistics or other quantitative area or related field

  • 2–4 years of experience with open-source technologies or object-oriented/functional programming, strong ability to write easy-to-scale, high-quality code

  • Strong mathematical and statistical skills

  • Good knowledge of financial markets and financial instruments

  • Detail-oriented, ability to multitask and work in a fast-paced environment

  • Ability to work independently while also being a strong team player

  • Excellent written and verbal communication

  • Passionate about programming and cutting-edge technologies


Preferred Qualifications



  • Master’s or Ph.D. Degree in quantitative area or related field

  • Professional experience with Python and JVM based languages such as Scala, Java, and Kotlin

  • Knowledge of optimization, stochastic modeling, Monte Carlo simulations

  • Experience with relational and NoSQL databases such as PostgreSQL and MongoDB

  • Experience with AWS solutions such as Lambda, S3, Kinesis, ElastiCache

  • Full-time or internship experience on front-office or developer role in the financial technology industry is a plus


We offer a competitive salary and benefits, the chance to work with a curated team of top-notch, highly creative talent, and a fun and agile work environment with many perks in the heart of New York City’s Chelsea district.


by via developer jobs - Stack Overflow
 

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