Job Location: Mumbai
Software Engineer for Alternatives team at leading Asset Management Company
We need a proficient programmer who is very well versed and has thorough understanding of Python programming language. The person should have prior long relevant experience (10+ years) of programming with at least 3-4 years of using python to analyse ‘big data’. You will be working very closely with a strong technical team that specialises in quantitative model development. The team’s work is underpinned by unflinching focus on precision and accuracy at all times, hence it will be useful if the candidate has strong mathematical background some knowledge of machine learning would be a good use too. The programmer will inherit a large body of code, which is also in Python. the Programmer must have excellent oral and written communication skills, the working language of the group is English. You will be strong team player. Ultimately, the role of the Software Engineer is to build high-quality, innovative and fully performing software that complies with coding standards and technical design.
Requirement:
10 years of hands-on programming experience.
Must know OOP and Design Patterns. Unit testing, regression testing.
Very good knowledge of NumPy, Pandas, Dask, Scipy, Scikit learns, H2O etc.
Advanced technical or mathematical degree and good head for data and statistics.
Excellent written and oral communication skills in English. English is the working language of our team.
Must be comfortable both with Linux and Windows platform.
The programmer should have:
Very good understanding of programming logic: how to structure good code with proper flow and documentation.
Experience of handling large datasets in Python. Experienced in the process of structuring, cleaning, and manipulating very large datasets.
Experience performing data analysis, modeling, and generating visualizations.
Prior experience and very good working knowledge of commonly used Python libraries such as NumPy, Pandas, Dask, SciPy, Matplotlib, etc.
Good understanding of relational databases and SQL.
Some prior working experience in financial markets is useful. Such as understanding the basics of equities or experience with pricing/risk analytics and equity analysis.
Exceptional quantitative and analytical skills (problem solving ).
Knowledge of basic statistics and econometrics is an advantage.
Must have excellent work ethic and initiative, must be a self starter.
Some knowledge of machine learning will be useful but not essential.
Nice to have: Experience with traditional statistical models and machine learning techniques (e.g. linear/logistic regression, PCA, random forest, etc.).
Nice to have but not necessary: Prior experience of using Reuters or Bloomberg doe data.
You will be working in the alternatives team which has strong programming experience. The quant models used in the department are all coded in python and use very large datasets.
Qualification: B.Tech/M.Tech or relevant education.
Submit CV To All Data Science Job Consultants Across India For Free
Leave a Reply