Data Scientist

JPMorgan Chase Bank, N.A.
New York, US
$163.2K-$170K a year
Full-time

DESCRIPTION : Duties : Turn data into insights to impact the strategy and direction of Wholesale Payments products. Develop approaches for understanding clients and their behavior to deliver custom insights for a continually improved payment experience.

Invent ways to answer key business questions by leveraging existing data assets or creating new ones. Develop, plan and execute analytical projects as an individual contributor and in teams.

Contribute to analytical insights in collaboration with product managers, end users, developers, and other stakeholders to integrate data discoveries and processes into operational capabilities.

Deliver practical data insights to senior leadership. Articulate findings in presentations, discussions and visualizations.

Develop and maintain subject matter expertise in the wide range domains in payments and liquidity to support a diverse set of products.

Develop bank data into data assets and insert tactical and strategic product solutions into current-state systems. QUALIFICATIONS : Minimum education and experience required : Master's degree in Statistics, Econometrics, Mathematics or related field of study plus 3 years of experience in the job offered or as Data Scientist, Business Intelligence Analysts or related occupation.

The employer will alternatively accept a Bachelor's degree in Statistics, Econometrics, Mathematics or related field of study plus 5 years of experience in the job offered or as Data Scientist, Business Intelligence Analysts or related occupation.

  • Skills Required : Requires experience in the following : querying and analyzing large quantities of data using SQL, MySQL, Hive, or Spark;
  • Python for data wrangling and transformation; using business intelligence tools such as Tableau to develop data visualizations and dashboards;
  • leading and managing data science projects; defining the analytical agenda for projects; framing business questions into and executing analytical plans;
  • presenting findings to senior level stakeholders for decision making; using pivot tables, plotting graphs, visualizations, and numeric models in Excel;
  • designing experiments using different data science methodologies, data sources, or elements to gauge the proxy solution of vague business problems;
  • running statistical and hypothesis testing; building regression and classification models including logistic, decision tree, and clustering;

conducting principal component analysis. Job Location : 383 Madison Ave, New York, NY 10179. Telecommuting permitted up to 40% of the week.

Full-Time. Salary : $163,238 - $170,000 per year. JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.

P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location.

For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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, sexual 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. JPMorgan Chase is an Equal Opportunity Employer, including Disability / Veterans Base Pay / Salary New York,NY $163,238.00 - $170,000.00 / year

2 days ago
Related jobs
Promoted
Insagic
New York, New York

Manages all phases of data analytics, (data extraction, analysis, manipulation, synthesis & interpretation, and summary) for client projects. Enjoys identifying statistically significant causal relationships, is comfortable working with big data, and is fascinated by consumer behavior. Analyzes larg...

Promoted
Microsoft Corporation
New York, New York

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e. OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, o...

Promoted
Insagic
New York, New York

The Senior Data Scientist will be responsible for the development and implementation of best-in-class healthcare data and analytics solutions and products. We are looking for a Data Scientist to join our growing analytics capability at INSAGIC. The INSAGIC Data Science and Engineering Team combines ...

Promoted
Prism Data Technologies, Inc.
New York, New York

Prior work experience must include: Quantitative and statistical modeling, data engineering, machine learning modeling, numerical analysis and data analytics related to consumer financial transaction data using AWS, Python, SQL, and python data science toolkits; Presenting results to non-technical a...

Promoted
Yext
New York, New York

We are seeking data scientists excited to discover opportunities in data across a wide variety of business domains! You will work collaboratively with cross-team partners in software engineering, and product management. Yext’s products! We manage large amounts of structured master data on behalf of ...

Capital One
New York, New York

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love. We are the data science team whose ML projects are leveraged for all customer facing messaging on Capital One’s homepage and mobile app. Leverage a broad stack of te...

Analytic Recruiting Inc.
New York, New York
Remote

Leading provider of healthcare claims payment integrity seeking a Data Scientist that looks through large amounts of claims data to identify cases of fraud, waste, and abuse to recover funds for clients (private and government clients). Applying SQL and machine learning to develop fraud, waste and a...

Daxx
New York, New York
Remote

Formal education: Bachelor’s degree with six or more years of relevant work experience as a Data Scientist practicing model development and production for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with tw...

City of New York
New York, New York

Under the direction of senior staff, the selected candidate will perform tasks including overseeing existing and new data collection and analysis programs; expand automated data collection program; plan, design, maintain, and support the Bike Unit’s internal databases related to bicycle and micromob...

S&P Global
New York, New York

The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to ad...