Job Location - Pune

Your role :

Are you interested in pursuing your career in Asset Management? Does working in a data driven business excite you? Do you want to be part of team innovating asset management business? Are you driven to use your financial skills in developing innovative research and investment management solutions? We're looking for someone to :

- Provide thought leadership in transforming fundamental and quantitative research through machine learning, NLP and AI

- Collaborate with researchers and portfolio managers in different business lines to understand current data and process.

- Develop new ideas to generate unique insights and to scale quantitative methods through effective use of scalable platforms and data science techniques

- Leverage data assets to build learning systems and predictive models to drive the efficiency of the investment process

- Develop working concepts to engage target audience

- Communicate the context and value of data analysis and models to stakeholders so that your work is well understood and actionable

- Collaborate with technical teams to deploy solutions and models into production

Your team :

- Chief Data Office (CDO), within UBS Global Asset Management (AM), was established to re-define AM's data & analytics strategy and to lead the innovation agenda for the division. The CDO provides the foundation for establishing a data and analytics driven culture, by guiding the successful delivery of both foundational and innovative solutions, in support of AM's strategic agenda. To design multi-faceted innovative solutions, the CDO is structured to encompass several functions, including Data Analytics, Data Solutions, and Data Governance. Analytics Center of Excellence team will drive the analytics and innovation agenda for CDO and will be based in India

Your expertise :

You have :

- CFA or equivalent studies with experience in fundamental research or quantitative research

- Experience in developing financial models or quantitative models for investment research or portfolio management

- Experience in developing back-testing and portfolio optimization models will be highly desirable

- Familiarity with market data used for different asset classes for research and management

- Experience in handling derivatives in model development

- Understanding of risk models and risk metrics will be useful

- Understanding of investment lifecycle from research to reporting

- Programming experience in Python or equivalent to develop high performing models

- Experience with machine learning models and NLP will be preferred

- Knowledge or experience in distributed computing through Spark will be useful

You are :

- Driven to leverage your financial and technical skills to transform asset management

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