Data Science Lead Analyst
| Company | MFS |
|---|---|
| Location | Boston, MA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in data sciences or applied Math or Statistics with significant programming experience, Or Computer Sciences with strong Math background.
- 5-6+ years’ work experience in a data analytics/science role
- Proficiency in Python or R and SQL or Q
- Experience with analyzing complex, high volume, high dimensionality data from varying sources and both structured and unstructured
- Advanced knowledge of machine learning with solid understanding of data mining, regression, decision trees, and neural networks
- Knowledge of Model evaluation with techniques such as cross-validation, confusion matrix and ROC curves
- Proficiency with data visualization and business intelligence platforms such as Tableau, Power BI or similar.
- Self-starter, and ability to communicate effectively and collaborate with traders, portfolio managers and business analysts.
- Skills to communicate complex ideas effectively and willingness to understand the business implications of a wide variety of data.
Responsibilities
- Working with BU to answer business questions with data analytics solutions
- Identifying and preparing the data (from internal and external sources) through direct coordination with MFS business areas and IT
- Work with cross-functional stakeholders and leaders to gather and synthesize relevant data, analyze, and develop final recommendations
- Support BU engagement teams on individual projects that may have specific data analytic needs
- Contribute to BU’s data analytics strategy, including the evaluation of continuous monitoring techniques by leveraging data and supporting project teams on data analytics-related topics.
- Building models using advanced analytical techniques. This will include descriptive, prescriptive, and other advanced analytical techniques.
- Support BU in the development of management reporting related to Departmental activities and projects.
- Develop and provide periodic departmental trainings on data analytics
Preferred Qualifications
- Familiarity with financial industry data (Bloomberg, tick level data, etc.)
- Keen interest to learn new technologies and experiment with innovative solutions.
- Experience with Cloud platforms (AWS or Azure) and technology capabilities.
- Experience working in a continuous integration environment, i.e.. automated build and code scanning is preferred.
- Strong interest in the Investment management and Trading functions.