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We are looking for Analytic Modeler Capital Markets who can use analytic and programming skills to test hypotheses and develop analytic models using Python as the language of choice. Key responsibilities being:
- Work with stakeholders to understand, identify and document the modeling use-
cases
- Document the specifications for the use case and its data requirements
- Understand data sources its relevant meta data
- Proactively identify data issues and work with stakeholders for resolution
- Write programs for Feature development and models for descriptive, prescriptive
and predictive insights (Python)
- Test and optimize the models
- Conduct demo’s and walk through sessions with stake holders
- Assist in productionizing the models
- Provide documentation for the Final Models
- Work along with business and IT teams to understand Bank’s standard’s,
processes, environments and to resolve development bottlenecks
Must have good understanding of Consumer Wealth Management Domain, Specifically Individual Financial investments area’s like - Retirement, Taxes, Education, Insurance, Asset allocation etc.
The candidate must be able to help build models that would help client’s quantity and measure financial investment goals, provide investment portfolio analytics and recommendations
Competent in feature development, unit testing, model documentation and integration
At least 2+ years of Python experience using quantitative packages like: Pandas, NumPy, SciPy etc.
Must have Quantitative experience in finance such as Monte Carlo methods and non-normal simulation
Excellent communication and interpersonal skills to work closely with product lead’s, designers and technologists
A global professional services firm delivering major transformations
Software Products & Services
7+ years
1
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