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Job Location | Hyderabad |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | General / Other Software |
EmploymentType | Full-time |
Responding to the evolving regulatory environment and helping to meet the firm s regulatory commitments by addressing internal and external commitmentsAdvancing the firm s Roadmap programs -- Single Sourcing of data, Architecture convergence, and Rationalization of PlatformsAdopting industry leading technologies to support best-in-class business capabilities for high performance computing and data storage solutionsDriving innovation across the firm s corporate technology portfolio, increasing efficiencies through process automation, and Agile application development, with an emphasis on user experience and shorter development cyclesInvesting in security & controls for cyber, access/entitlements uplift, data protection and application resiliencyThe Risk Quantitative Development (RQD) Model Implementation team helps modelers implement their models into production. Our activities include administering, managing and supporting the model development platform and the multiple products and software used by the Modelers. We also support the model development team by developing Proof Of Concept Solutions, shadow/pair programming and performance tuning.Responsibilities:The candidate must exhibit a good understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.The candidate must have a good understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models.Coordinate with various teams on production support ticke ts, root cause analysis and assist in efficient resolution of production processesCandidate should have good knowledge on overall Hadoop and Spark ecosystem and will be responsible for developing/maintaining high quality Spark/ML projects.Candidate will be responsible to supporting the day to day operations for the model development platform. This includes supporting and working with the Infra team during periodic upgrades and developing tools and processes on the platform to automate and improve user experienceCandidate should have good knowledge on python/shell scripting and would be responsible to automate the repetitive tasks and processesQualifications :Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) or Bachelors degree with 6 years of experience, or Master s degree with 4 years of experienceDevelopment and implementation experience of applications for 4-6 years.3 to 5 years experience designing and developing in Python.Should have solid understanding on ML techniques and concepts using numpy, pandas, scikit learn and/ or other ML libraries.3 to 5 years experience in Hadoop Platform (Hive, HDFS and Spark)2 to 4 years experience with Unix shell scripting2 to 4 years experience with SQL3 to 5 years experience with Spark Software using PySparkGood knowledge on Scala is added advantageShould be open to learn/explore and work on upcoming/trending technologies and toolsets,
Keyskills :
javasql javascriptsql server jqueryproof of concept root cause analysisunix shell scripting