Description
Compose and implement new methodologies, quantitative models, analysis and commentary that improve existing or new processes.
Responsibilities:
- Develop and implement automated solutions for sourcing/loading Entity data into Database
- Analyse Legal entity content to establish patterns/trends
- Develop, improve and run quantitative models
- Generate solutions through machine learning for core processes
- Work with business, content and product groups for large-scale analytics problems
- Develop strong proof-of-concepts (POCs), visualizations and pipeline tools for product design and development
- Work with development groups for deployment of analytics solutions
- Collaborate with cross-functional teams as needed, with supervision.
Knowledge & Skill:
- Extensive experience using Python, Power Apps, SQL
- Strong proficiency in using tools and libraries such as Scikit-learn, NumPy, pandas and Jupyter
- Strong relational database skills
- Strong understanding of statistics and statistical language such as R
- Ability to handle large quantities of data
- Compose dashboards, visualizations, POCs, and analytics pipelines
- Communicate insights through data storytelling (to technical and mostly non-technical audience)
- Strong written, communication and presentation skills.
Qualification:
- Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification.
Desired Skills:
- 2+ years of Data Science project experience in Finance domain is helpful
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