Quantitative Analyst

Quant Engineer

Location: Bangalore(Remote)

Fulltime

• 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 analyst’s 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

Educational 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