Data Scientist - Quantitative Analyst, Manager

Grant Thornton 11/9/2018 5:38:57 AM
JOB ID: 042114 Specialty:
Washington, District of Columbia

   

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Grant Thornton is collaborative, entrepreneurial and on the move. As part of a dynamic global organization of 47,000 people serving clients in more than 140 countries, we have the agility and focus it takes to be a leader.

Data Scientist - Quantitative Analyst, Manager

Position Summary:

Grant Thornton’s Advisory professionals are progressive thinkers who create, protect, and transform value today, so our clients have the opportunity to thrive and grow. Our advisory practice creates holistic solutions delivered by innovative, curious professionals who bring technical depth and industry insight to our clients. The Advisory Practice includes Business Consulting (BC), Business Risk Services (BRS), Transaction Services (TS), Enterprise Technology, Strategy & Innovation (ETSI) and Financial Services (FS and FinTech).

Become a member of GT Labs providing data-driven and action-oriented solutions. Ideal candidate is a business-minded data scientist with a demonstrated ability to develop Machine Learning models that deliver valuable insights via data analytics and advanced data-driven methods. If you career goal to be relied on as a key member in driving innovative AI/Machine Learning solutions, we invite you to join our team!

Essential Duties and Responsibilities

Data and Quantitative Analysis
Decision Analytics
Predictive Modeling
Data-Driven Personalization
R, Jupiter Notebooks, Python, SQL
Big Data Queries and Interpretation
Data Mining and Visualization Tools
Machine Learning Algorithms
Business Intelligence (BI)
MS Azure environment experience
Other duties as assigned.

Qualifications

Bachelors’ degree in Financial Services or Technology related field required. Masters’ degree a plus.
Experience with popular machine learning algorithms (Classification and regression tress, GAMs, splines, SVMs, KNN and more). Experience with Linear and Logistic regression models
Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships, strengthen longevity and personalize interactions with customers.
Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.
Good understanding of model validation methodologies
Ability to work additional hours and travel domestically as needed.

Benefits:

Grant Thornton LLP promotes a nationally recognized culture of health and offers an extensive array of benefits to meet individual lifestyles. For a complete list of benefits, please visit www.gt.com.

Founded in Chicago in 1924, Grant Thornton LLP (Grant Thornton) is the U.S. member firm of Grant Thornton International Ltd., one of the world’s leading organizations of independent audit, tax and advisory firms. Grant Thornton has revenues in excess of $1.7 billion and operates 59 offices across the U.S., with more than 590 partners and 8,500+ employees in the United States and at our Shared Services Center in Bangalore, India.

Grant Thornton works with a broad range of publicly- and privately-held companies, government agencies, financial institutions, and civic and religious organizations. Core industries served include consumer and industrial products, financial services, not-for-profit, private equity, and technology. Grant Thornton focuses on serving dynamic organizations that pursue growth holistically — whether through revenue improvement, leadership, mission fulfillment or innovation.

It is Grant Thornton’s policy to promote equal employment opportunities. All personnel decisions, including, but not limited to, recruiting, hiring, training, promotion, compensation, benefits and termination, are made without regard to race, creed, color, religion, national origin, sex, age, marital status, sexual orientation, gender identity, citizenship status, veteran status, disability or any other characteristic protected by applicable federal, state or local law.






Requisition ID: 042114

Washington, DC
Washington, District of Columbia




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