Data Scientist

Company: Northern Trust Asset Management
Location: Chicago, Illinois, United States
Type: Full-time
Posted: 25.AUG.2021
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Summary

WHO WE ARENorthern Trust provides innovative financial services and guidance to corporations, institutions and affluent families and individ...

Description

WHO WE ARENorthern Trust provides innovative financial services and guidance to corporations, institutions and affluent families and individuals globally. With 130 years of financial experience and nearly 20,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Today, we are going through a metamorphosis - starting with our Wealth Management business where we are embracing Agile ways of working and exploring new technologies like cloud, analytics, and microservices architectures.Critically, our advanced Digital design systems enable us to put our valued customers at the heart of our user experience. WHY US As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company that is committed to strengthening the communities we serve.Our talented, driven and energetic people are truly changing the face of Northern Trust. The speed with which we work, the influence of each partner and the focus to positively change the client experience is our common passion. People are our greatest Wealth, so if you have a genuine desire to work in a fast-paced, Agile, inclusive environment which requires teamwork, well-honed problem-solving skills, deadline management, ongoing and comprehensive communication, constant attention to detail, and a commitment to continuous improvement then seek no more!WHO YOU AREYou might be a new graduate or have a few years of professional experience but are eager to flex your statistical prowess and continue to learn.You are excited about helping businesses get better at making decisions with statistically valid insights rather than by gut feel.You truly believe in the importance of interpreting and managing data to solve complex problems and are inspired by collaborating on the art of the possible.You work hard to stay on top of fast changing technology and invest a lot of energy in learning new tricks for data modeling, statistical analysis, predictive and prescriptive analytics, analytic model development and management, mining, visualization, and other quantitative analysis techniques.You are caught up on industry trends in tools and libraries and have a perspective on what the near future will bring.You have a real passion for data driven decision making.Furthermore:You have a bachelor's degree in statistics, machine learning, mathematics, computer science, or any other related quantitative field, or equivalent professional experienceYou have strong statistical analysis and mathematical skills, and strong problem solving, analytic, and quantitative abilitiesYou have the enthusiasm to apply your experience with machine learning libraries and data mining tools to tangible business problemsYou are a team player who can work as part of a group to achieve greater goalsWHAT YOU'LL DOAs a data scientist, you will play a part in building something new as part of our Wealth Management analytics team. Data science is a specialty that is new to our business, but that has high business expectations, and that is growing quickly. We cherish and nourish our diverse and inclusive culture and welcome you to help us further grow our community.We are actively exploring emerging technologies in AI, Machine Learning, Predictive Analytics, Blockchain and Decentralized Finance to elevate dozens of products and services which millions of customers use.You will:Build models to help answer our business' pressing questions and needs for insightful dataDeploy models to a production state and maintain them over time Improve the maturity of decision making by bringing actionable insights to our business Understand the business problem and lead with hypotheses to appropriately structure the data & modelSupport self-serve capabilities where possibleAdditional Information

 
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