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Treasury Quantitative Analytics Python Developer _ Assistant Manager

5.00 to 7.00 Years   Bangalore   14 May, 2019
State Street Corporation
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
Industryanking / Financial Services
Functional AreaOperations Management / Process AnalysisGeneral / Other Software
EmploymentTypeFull-time

Job Description

Global Treasury (GT) is responsible for overall balance sheet management including credit, interest rate, and liquidity risk. Treasury Quantitative Analytics is responsible for in depth quantitative modeling that represents the complex interaction of global markets, customer behavior, and regulatory oversight in coordination with business partners across business units, Finance, and Treasury (including Asset/Liability Management (ALM), Global Liquidity Management, and Capital Management). The group supports key risk management and regulatory initiatives including, IRR, liquidity stress testing, CCAR/DFAST, Recovery & Resolution Planning (RRP) and investment & balance sheet strategy.The successful candidate is a team player who demonstrates intellectual credibility, has relevant application development experience and can deliver clear, well-structured communications, including presentations to key risk committees, regulators and constituents, and well-structured and comprehensive technical documentationKey Responsibilities & Experience Range

  • Implement mathematical models in Python according to specifications provided by modelers and business users, and suggest best practices for high performance and automated execution
  • Automate advanced data aggregation methodologies for stand-alone execution in controlled environments
  • Implement on-the-fly and static data enrichment logic; implement heuristics to regularly monitor wide variances in critical data
  • Create data visualizations and interactive analytics portals that turn statistical and computationally intensive data analysis into digestible reports, and integrate with visualization tools (e.g., Tableau/Qlikview) for business users
  • Establish processes and procedures for managing and accessing large databases, and for optimizing repetitive or computationally intensive tasks
  • Write technical documentation, present and defend results to independent Model Validation team, senior management, and regulators
  • This is primarily a coding role and not a statistical modeling role
Qualification & Certifications
  • Bachelor s degree or higher in a computational field such as Computer Science or Mathematics, 5-7 Years of experience years of Application Development in Python with a working knowledge of banking regulations preferred.
Primary Skills
  • Expert understanding of Python Core concepts, including both functional and class-based design, and new language features up to Python 3.5.
  • Demonstrable experience with a range of common Python packages including NumPy, Pandas, wxPython, matplotlib, SAlib, Scikit-learn, with proficiency in at least one Python web framework (e.g. Django, Flask, Pyramid) desired
  • Knowledge of SQL (Oracle, MySQL, PostgreSQL, etc.), NoSQL (Couchbase, MongoDB) and Python ORM libraries required
  • Experience working with large and complex data sets and coding solutions to address requirements of financial institutions, with a working knowledge of banking regulations preferred
  • Proficiency building complex visualizations in BI platforms such as Tableau or Qlikview strongly desired
  • Strong verbal and written communication skills
  • Good project management and time management skills and a demonstrated ability to work independently on complex projects
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Keyskills :
salesms office time managementoperations managementdata analysis djangomatplotlib stati

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