Open Systems Technologies
Software Engineer
Open Systems Technologies, New York, New York, us, 10261
A financial firm is looking for a Software Engineer to join their team in New York, NY.
Compensation: $200-250k
Qualifications
RequiredA Bachelor's or advanced degrees in computer science, engineering, or technology related field required8+ years software development experience in financial services industry collaborating with quantitative modelers/researchers and data teams, preferably in asset management or investment bankExperience working on very large scale, high performance, horizontally scalable, big data, distributed computing systems, solving computationally challenging problems such as market risk, counterparty risk, simulations, regulatory stress etc.Expertise in server-side Python, object-oriented programming, scalable design, data structure, concurrency, algorithm, performance tuning and distributed systems architectureExpertise in technologies such as, Kafka, Redis, Mongo DB, MS SQL etc., preferably hosted on AWSExpertise in data analysis using SQL, Pandas, REST API etc.PreferredExperience working on a firmwide risk system for commodities, rates, fixed income, or creditKnowledge of commodities market, financial derivatives, pricing/valuation, and risk analyticsFamiliarity with Bloomberg and Morning Star commodities market dataExperience using Dev/Ops tools, such as, JIRA / Git / Team City / Octopus Deploy, in Agile environmentFamiliarity with data analysis using ExcelExpertise in an object-oriented programming language such as C#, Java or C++Expertise in AWS technologies such as RedShift, EC2, S3 etc.Experience with Kubernetes and AWS infrastructure
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Compensation: $200-250k
Qualifications
RequiredA Bachelor's or advanced degrees in computer science, engineering, or technology related field required8+ years software development experience in financial services industry collaborating with quantitative modelers/researchers and data teams, preferably in asset management or investment bankExperience working on very large scale, high performance, horizontally scalable, big data, distributed computing systems, solving computationally challenging problems such as market risk, counterparty risk, simulations, regulatory stress etc.Expertise in server-side Python, object-oriented programming, scalable design, data structure, concurrency, algorithm, performance tuning and distributed systems architectureExpertise in technologies such as, Kafka, Redis, Mongo DB, MS SQL etc., preferably hosted on AWSExpertise in data analysis using SQL, Pandas, REST API etc.PreferredExperience working on a firmwide risk system for commodities, rates, fixed income, or creditKnowledge of commodities market, financial derivatives, pricing/valuation, and risk analyticsFamiliarity with Bloomberg and Morning Star commodities market dataExperience using Dev/Ops tools, such as, JIRA / Git / Team City / Octopus Deploy, in Agile environmentFamiliarity with data analysis using ExcelExpertise in an object-oriented programming language such as C#, Java or C++Expertise in AWS technologies such as RedShift, EC2, S3 etc.Experience with Kubernetes and AWS infrastructure
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