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Data Scientist Analyst @ Oracle

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 Data Scientist Analyst

Job Description

    Become an integral part of our Data Scientist team! Each day will be unique bring a positive attitude, entrepreneurial spirit and get ready to roll up your sleeves. This position is an essential part of the team and will have exposure to several aspects of running a banking office. Job Summary: As a part of Data & Analytics team is the engine that powers JPMorgan Chase with insights to create competitive advantages for our business and deliver value for our customers. We have unified data and analytics talent across the firm and encompass a variety of disciplines including data science, reporting, quantitative analytics, and data governance. Within this organization, the Data Sciences team leverages industry-leading data-driven techniques to convert data into meaningful insights. The industry is rapidly changing and JPMorgan Chase is transforming our wealth management business to accelerate growth. We are looking for talented data scientists to help execute our analytic strategies for the newly formed JPMorgan Wealth Management (JPMWM) business unit which includes Chase Wealth Management, JP Morgan Advisors, and the You Invest digital platforms. This role will be central in understanding investment customers financial needs and their interactions with our products, services, channels and Advisors. Job Responsibilities Searching for collections of behaviors and events that individually are innocuous but collectively indicate a likely next action in order to enable timely, relevant outreach Analyzing drivers of advisor performance to understand the relative impact of opportunity, behaviors, and effectiveness on acquisition and deepening outcomes Predicting a segments unique financial needs within the first 3 months on book to improve engagement and deepening with new clients Overlaying customer and channel behaviors across our local markets and branch footprint to determine how to optimize in-person and remote staffing Providing expertise as to how data visualization, algorithms, machine learning, and text analytics/NLP can be leveraged to optimize sales performance Creating self-serve tools to access real-time information Identifying potential attrition events and determining how early the prediction needs to be made for any counteraction to be effective Required qualifications, capabilities, and skills: Bachelors / Master's Degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field with 5 - 9 years of data science / Quant analytics experience Expertise in SAS / Python programming to develop advanced analytical techniques Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts Experience in solving business problems through fact-based and scientific analytics, like to focus on solving problems Ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives Recognize the stories in the data and tell them in ways that illuminate which customers are likely to do what next Comfortable summarizing key information and presenting recommendations to multiple stakeholders to influence senior management Preferred qualifications, capabilities, and skills: Familiarity in an insights function at a financial services firm, consulting firm, or a marketing agency Experience in a workforce analytics, sales performance analytics, or sales science organization Expertise of big data disciplines, Agile (scrum) methodologies, and new technologies,

Employement Category:

Employement Type: Full time
Industry: BFSI
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Data Scientist Analyst

Contact Details:

Company: Chase- Candidate
Location(s): Karnataka

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Keyskills:   SAS SQL Data visualization Algorithms Machine learning Text analytics NLP Mathematics Statistics Economics Engineering Computer Science Data Science Information Science Python programming

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