drjobs Data Science Lead Analyst

Data Science Lead Analyst

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1 Vacancy
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Job Location drjobs

Boston - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

At MFS you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.

THE ROLE

The Data Science Lead Analyst in collaboration with Business Unit and in connection with individual projects will analyze and evaluate large quantities of data. Leveraging your advanced data analysis skills you will create develop and iterate innovative approaches to answer business questions that will inform the Business Unit engagements. You will apply a datadriven analytical approach to a variety of questions related to MFSs operations risks and controls.


Your work will be projectoriented: you will often be responsible for the entire analytical process from working with members of the team to identify their need for analytics data preparation to outlining the type of solution (implementation and interpretation of the results). You will constructively discuss your results and potential findings with members of the team and the other MFS Business Units.

WHAT YOU WILL DO

  • 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 crossfunctional 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 BUs data analytics strategy including the evaluation of continuous monitoring techniques by leveraging data and supporting project teams on data analyticsrelated 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

WHAT WE ARE LOOKING FOR

Required:

  • Bachelors degree in data sciences or applied Math or Statistics with significant programming experience Or Computer Sciences with strong Math background.

  • 56 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 crossvalidation confusion matrix and ROC curves

  • Proficiency with data visualization and business intelligence platforms such as Tableau Power BI or similar.

  • Selfstarter 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.

Preferred:

  • 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.

#CDLI1

#LIHYBRID

At MFS we are dedicated to building a diverse inclusive and authentic workplace. If you are excited about this role but your past experience doesnt align perfectly we encourage you to apply you might be just the right candidate for this role or others.

What we offer:

  • Generous timeoff provided: including Responsible time off for many roles paid company holidays when the US Stock Exchange is closed plus paid volunteer time
  • Family Focus: Up to 20 weeks of paid leave for new parents backup care program dependent care flexible spending account adoption assistance generous caregiver leave
  • Health and Welfare: Competitive medical vision and dental plans plus taxfree health savings accounts with company contributions
  • Wellness Programs: Robust wellness webinars employee assistance program gym reimbursement through our medical plans fitness center discounts and more
  • Life & Disability Benefits: Companypaid basic life insurance and shortterm disability
  • Financial Benefits: 401(k) savings plan Defined Contribution plan 15 of base salary invested into the Plan competitive total compensation programs

MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting.

If any applicant is unable to complete an application or respond to a job opening because of a disability please contact MFS at or email for assistance.

MFS is an Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race color religion sex national origin age marital status sexual orientation gender identity genetic information disability veteran status or any other status protected by federal state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally retaliation including intimidation threats or coercion because an employee or applicant has objected to discrimination engaged or may engage in filing a complaint assisted in a review investigation or hearing or have otherwise sought to obtain their legal rights under any Federal State or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document linked for your reference.


Required Experience:

IC

Employment Type

Full-Time

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