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offers investment solutions and services and retirement expertise to more than 2.5 million customers globally. As a privately-held, purpose-driven company with a 50-year heritage, we think generationally and invest for the long term. Operating in more than 25 locations and with $608.7billion in total assets, our clients range from central banks, sovereign wealth funds, large corporates, financial institutions, insurers and wealth managers, to private individuals.
Job Description
Title: Associate Portfolio Engineer/ Portfolio Engineer
Location: Gurgaon (India)
Key Responsibilities
• Establish strong links with Fixed Income, Equity and Multi-Asset Portfolio Engineers and Managers to ensure we work towards a truly cross-asset portfolio management capability.
• Work closely with the Portfolio Engineering team and Portfolio Managers across Fixed Income, Equity and Multi-Asset to support the day to day running of client portfolios.
• Work closely with the technology team to ensure rapid resolution of data issues.
• Ensure client reporting requests are managed in a timely fashion.
• Assist in monitoring the efficacy and accuracy of the team’s quantitative portfolio management tools.
• Automation of regular manual data processing tasks and spreadsheet templates.
• Running regular portfolio monitoring and pre-trade checks. Assisting with the incorporation of these checks into FIL systems.
• Performing rigorous data quality checks using statistical techniques to ensure the robustness of model outputs.
• Improve the dissemination and visualization of model output.
• Contribute to the maintenance of high-quality code and testing.
Experience and Qualifications Required
Good data manipulation skills, very strong attention to detail, client focus and strong communication skills are key to the role. Experience and qualifications required includes:
• Graduate / Post-graduate in a quantitative discipline (Engineering, Mathematics, Statistics, etc.).
• 2+ years of working experience in a similar role, focused on data analysis, automation and visualization in the financial domain.
• Direct experience of working with Python in a data science context (e.g. experience of working with pandas, numpy, scipy, etc…)
• Knowledge and experience of working with data visualization tools in Python.
• Strong skills in quantitative data analysis, preferably cross asset with experience of working on large security level data sets.
• Advanced knowledge of Excel and familiarity with ofther MS Office tools.
• Must possess excellent ability to communicate technical issues both in writing and verbally.
• Experience of working with one or more of Fixed Income, Equity and/or Multi Asset data.
• Interest in and commitment to learn new data techniques such as those detailed in the desired experience section.
Desired Experience and Qualifications
As the position involves manipulation of data, candidates with exceptional strong data analysis skills are well suited to the role. This would include familiarity with areas such as:
• Portfolio management, portfolio construction, portfolio risk and optimization.
• Experience of working with derivativies and an understanding of the impact of leveraged securities on portfolio management.
• Knowledge of performance attribution approaches.
• Financial databases such as Thomson Reuters, Bloomberg, FactSet.
• Database and query writing skills in SQL.