Data Scientist - Wealth Management- post

💰 $8,960 - $14,336 (Est.) 📍 Dallas

Job Description

JOB DESCRIPTION


Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges!

As a Data Science Associate on the Online Investing Data Science Team for US Wealth Management (“USWM”), your ability to blend cross-functional knowledge in Online Investing, financial products, markets, statistics and advanced analytics will be a key to your success. You’ll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business.

Job Responsibilities:

Analyze client, macro-behavioral trends as it relates to Online Investing, financial products and solutions that are offered on JPMorgan’s USWM platform
Provide analytical support for Online Investing strategy and platform engagement
Analyze client behavioral data to inform strategic decision making, including forming, investigating and researching hypotheses, as well as deep-dives into client deepening and retention efforts.
Use a variety of data tools and technologies, including industry-standard and open-source platforms, to assemble, organize and analyze data, including Python, R and SQL.
Apply statistical, causal inference and machine learning modeling methods and techniques, including clustering algorithms, tree-based models, matching methods and time-series anomaly detection.
Present findings to key stakeholders, including senior leaders, across Online Investing, Finance, Legal and Data and Analytics.

Required qualifications, capabilities, and skills:

1+ years of experience working in an analytical, data science, finance or management/economic consulting role
BS Degree in a related field, such as Mathematics, Statistics, Engineering, Computer Science, Finance, Economics or other applicable STEM discipline
Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business
Strong storytelling capabilities
Aptitude for learning new theory and new technology

Preferred qualifications, capabilities, and skills:

Masters Degree or PhD
Knowledge or demonstrable interest in financial securities and markets
Practical understanding of advanced statistics, econometrics and / or machine learning
Practical understanding of financial modeling and economics
Knowledge or demonstrable experience in Python, SQL and /or R
ABOUT US


Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, ****** orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans




ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.



The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

💡 Quick Summary

Seeking a career-building opportunity? The Data Scientist - Wealth Management- post position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Dallas offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.

Sponsored

Job Details

Company Name: JPMorganChase

Frequently Asked Questions

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The expected salary for Data Scientist - Wealth Management- post in Dallas is $8,960 - $14,336 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Data Scientist - Wealth Management- post is an on-site position based in Dallas. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Data Scientist - Wealth Management- post. Previous experience in IT Engineer & Developer Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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