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Pyspark Cloud Development Lead

10.00 to 12.00 Years   Hyderabad   14 Mar, 2022
JPMorgan
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaSales / BDGeneral / Other Software
EmploymentTypeFull-time

Job Description

    The Risk Quantitative Development (RQD) Model Implementation team helps modelers implement their models into production. Our activities include perform hands-on coding primarily using Scalaspark and Pyspark to implement complex regulatory or risk models in production. This team is also responsible for validating output of models with modeling team before it can be implemented in production environment. Other functionalities include creating reports and dashboards for data management, model execution and governance.The is a lead role and the candidate will be a hands-on technical member of the Model Implementation team, and will work closely with the Modeling team, Data Management and other technology team members within the firm. Apart from working and supporting the model development activities Team also manages the model development infrastructure and support hundreds of user on these platforms for any software, libraries, packages required for ML model development. The candidate must be a talented programmer with the skills listed below and a pro-active problem solver with someone who can collaborate with. In addition, the candidate must exhibit a thorough understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation. The candidate must have a solid understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models.Responsibilities: The Development Lead will be a member of the teams that designs and develops robust automated solutions in partnership with Model Design teams and other stake-holder groups in Risk and Finance. The ideal candidate will possess strong technical skills and an understanding of data systems, and will execute the end-to-end implementation effort.Develop, test, and maintain data and analytics needed for risk and finance models Process analysis and process improvement, Create and maintain technical documentation, Contribute to the group s knowledge base by finding new and valuable ways to approach problems and projects. Deliver high-quality results under tight deadlines Experience manipulating and summarizing large quantities of data. Knowledge of the consumer lending lifecycle, including loan origination, sale/servicing, default management/loss mitigation Manage multiple deliverables to different business groups and ability to build stronger customer relationships. Collaborate with the appropriate individuals (LOB users, Subject Matter Experts, Architects, DBAs, etc.) to design and implement the appropriate solution Working with System administrators, users, and other development team to manage enhancements and issuesQualifications Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) or Bachelors degree with 12 years of experience, or Master s degree with 10 years of experience. 10+ years of professional development experience on any of the programming language e.g. pySpark, scala, Python, big data tech stack, unix, shell scripting etc Solid understanding of object oriented design, data structures, and algorithms Hand-on experience with Cloud technologies, preferably AWS. Strong software development skills (design, development, testing, debugging, trouble-shooting) Proficiency with Python and shell programming Good oral and written communication skillsHaving experience on C++ will be a big advantage.Desired Skills Experience developing large scale applications with an emphasis on performance, numerical accuracy and reliability,

Keyskills :
customer relationsdeliveryrisk modelsobject oriented designjavafunctionalbig dataagile

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