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Credit EMM Developer - VP

Mumbai, India | Global Securities, Investment and Retail Banking Firm

  • Industry:
    Financial Services
  • Position Type:
  • Functions:
    Financial Services Professional
    Risk Management
  • Experience:
Job Description:
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Build automated reporting and business intelligence capabilities for trading, management, QR, and control functions that display and visualize data with regards to algo model performance, auto-execution statistics, trade profitability etc.

Development, deployment and support of production code for automated and semi-automated quoting and trading of Credit and SPG products in our in-house system, Athena

Research, back-testing and reporting frameworks for market-making and quoting strategies

Working with Technology on ongoing improvements to market-making infrastructure, as well as on sourcing, maintaining and exposing various market and reference data feeds, i.e. data engineering

The role requiresa very dynamic environment, and excellent communication skills are required in our interaction with trading, technology, and control functions. A healthy interest in good software design principles is essential. The role requires understanding of the Credit and SPG flow-products. It is understood that the candidate may not have this knowledge from previous experience, but the successful candidate would be highly motivated to gain this knowledge. An advanced STEM (Science, Technology, Engineering, Mathematics) degree from a top academic institution is highly desirable, but not an absolute

 Essential skills:

Very strong Object Oriented Programming (OOP) and software design skills are required, preferably obtained using C++. Extensive Python experience would be a plus

Excellent communication skills are required in our interaction with trading, technology, and control functions

Practical data-analysis skills on real datasets, including familiarity with methods for working with large data and tools for data analysis and visualization, e.g., Pandas, Numpy, Tableau, Qlikview, SQL, etc

Strong interest and some experience in data engineering and big-data related database technologies and tools like (Spark, Kdb+, Onetick, Hadoop, AWS etc.)

Excellent practical data-analysis skills on real datasets, including familiarity with methods for working with large amount of data and tools for data analysis, e.g., Pandas, Numpy

Attention to detail and focus on quality of deliverables

Excellent communication skills; explains her/his thought process clearly and communicates models and strategies behaviors to a non-technical audience efficiently

Ability to work in a high-pressure environment

Pro-active attitude. Should have a natural interest to learn about our business, models, and infrastructure.


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