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  • 5 - 7 Years
  • Posted : above 1 month

Job Description:

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 documentation

Key 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 (eg, 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

Bachelors 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 35
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 (eg 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

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Banking, Financial Services/Stockbroking
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 11th Jan 2020

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