Senior Quantitative Finance Application Developer Financial Instruments and Technology

2 - 4 years

1 - 8 Lacs

Posted:22 hours ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

We are growing our quantitative technology team with engineers who have deep knowledge of financial analysis and enjoy automating analytic process while building complex, scalable analytic tools so that they reach high performance and reliability.We are seeking an experienced quantitative finance developer to leverage advanced analytical tools and mathematical processes in support of this high-growth team's robust asset class expertise.

Day-to-day responsibilities:

  • Working with an experienced team including developers, quantitative analysts and modeler to review, debug, and develop financial models for different asset classes
  • Developing deep technical strength in the valuation of alternative assets, through direct exposure to high-profile clients and alternative asset industry professionals
  • Assisting in the design of financial models for discounted cash flow, market multiple, market transaction and option pricing analyses
  • Writing technical reports and delivering analyses to fund investment and finance teams, corporate management groups, and board committees

Essential traits:

  • Bachelors, Master's, or PhD in Finance, Mathematics, Statistics, or a related quantitative discipline
  • 4+ years of professional programming experience (Fewer years of relevant experience will be considered for candidates with higher academic qualifications, such as a PhD or a second Master's degree)
  • Expertise in financial valuation theory, methodologies, applications, and the fundamentals of constructing and reviewing valuation models for complex financial instruments
  • Strong analytical and problem-solving skills, as well as strong verbal and written communication skills
  • Experience in one or more of the following areas is beneficial:
  • Modelling experience with Excel
  • Experience with statistical modelling tools, e.g. Python & Pandas or R.
  • 2+ years of professional programming experience in Python
  • Experience working with large dataset with SQL

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