Title : QUANT ENGINEER
Experience : 8+ Years
Interview Mode : Face to Face
Location : Pan India
Work Mode : Hybrid
Note : Immediate Joiners Preferred
Quant Engineer Job Description :
- Strong Python developer with up-to-date skills, including web development, cloud (ideally Azure), Docker, testing , devops (ideally terraform + github actions).
- Data engineering (pyspark, lakehouses, kafka) is a plus.
- Good understanding of maths, finance as role interacts with quant devs, analysts and traders.
- Familiarity with e.g. PnL, greeks, volatility, partial derivative, normal distribution etc. Financial and / or trading exposure is nice to have, particularly energy commodities
- Productionise quant models into software applications, ensuring robust day to day operation, monitoring and back testing are in place
- Translate trader or quant analysts need into software product requirements
- Prototype and implement data pipelines
- Co-ordinate closely with analysts and quants during development of models, acting as a technical support and coach
- Produce accurate, performant, scalable, secure software, and support best practices following defined IT standards
- Transform proof of concepts into a larger deployable product in Shell and outside.
- Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities.
- Ensuring that documentation and explanations of results of analysis or modelling are fit for purpose for both a technical and non-technical audience
- Mentor and coach other teammates who are upskilling in Quants Engineering
Professional Qualifications & Skills Qualification :
Graduation / postgraduation / PhD with 8+ years work experience as software developer / data scientist.Degree level in STEM, computer science, engineering, mathematics, or a relevant field of applied mathematics.Good understanding of Trading terminology and concepts (incl. financial derivatives), gained from experience working in a Trading or Finance environment.Required Skills :
Expert in core Python with Python scientific stack / ecosystem (incl pandas, numpy, scipy, stats), and a second strongly typed language (e.g. : C#, C++, Rust or Java).Expert in application design, security, release, testing and packaging.Mastery of SQL / no-SQL databases, data pipeline orchestration tools.Mastery of concurrent / distributed programming and performance optimisation methods.Strong Python developer, Web Development, Cloud Computing, Containerization & DevOps Testing & Software Quality Assurance.Required Skills :
Good understanding of Trading terminology and concepts (incl. financial derivatives), gained from experience working in a Trading or Finance environment.(ref : hirist.tech)