Vice President : Quants Researcher (Private Credit)
Looking for professionals with experience in multiple quantitative research along with financial modelling for structured private credit products. If this sounds interesting, read on!
Your future employer:
A leading global financial technology provider.
- Performing market/event driven research, publish and present publications to internal and external stakeholders
- Researching upon Machine Learning algorithms to deliver high performing solutions
- Converting research literature into production models
- Identifying, sourcing, extracting, cleaning and wrangling longitudinal, geospatial, and natural language data for feature engineering
- Writing production level code using Python/Java/C++/R/etc.
- Analysing algorithms and statistical models of Commercial Mortgage products for trading desk, risk management and investment research
- Building visualization and data query interfaces
- 6+ years of experience in Machine Learning with a Masters/PhD degree in quantitative discipline (computer science, mathematics, statistics, data science, economics, physics, engineering, or related field)
- Strong research skills and hands-on expertise in data mining, machine learning, natural language processing, mathematical and statistical approaches
- Working experience in geospatial catchment and data analysis in natural language and longitudinal data
- Expertise in object scripting languages such as Python and Java; knowledge and coding experience in C++/C#
- Good know-how of working on databases (SQL, etc.)
- Effective communication and collaboration skills
- Investment and other domain knowledge is a definite plus.
If you think this is the right opportunity for you, feel free to apply or forward your application with your updated resume at email@example.com for further discussions.
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