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JPMorganChase

Strategy & Transformation- Analytics Solutions Senior Associate- Payments

Reposted 3 Days Ago
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Hybrid
Fort Worth, TX
Mid level
Hybrid
Fort Worth, TX
Mid level
The Analytics Solutions Senior Associate develops analytical models, provides ad-hoc analytics support, and conveys insights to stakeholders, driving business decisions based on data science expertise.
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Job Description
Are you passionate about data science with a comprehensive understanding of analytical principles, tools, technologies, and the capability to convey insights to both executive and non-technical audiences? If so, this could be the ideal opportunity for you.
As an Analytics Solutions Senior Associate on the Instrumentation & Metrics (I&M) team, you are in integral part of the team that will be responsible for leveraging your expertise in data science to develop and maintain production grade models using various analytical techniques. You will provide ad-hoc analytics support to the Payments organization, transforming complex data into actionable insights. Additionally, you will guide the team on best practices and techniques in data science, ensuring the effective use of data to drive business decisions.
Job responsibilities

  • Develop complex analytical models that provide a comprehensive view of the business by integrating data from multiple sources. Utilize advanced SQL, Alteryx, Tableau, and Python programming skills, along with expertise in multivariate statistics, quantitative modeling, and advanced analytical methods (e.g., supervised/unsupervised machine learning, time-series predictions, NLP, etc.).
  • Conduct data discovery and analytics to extract insights that enhance existing financial products and support decision-making processes.
  • Collaborate with product managers, data architects, software engineers, and business analysts to build a company-centric analytics product in a production environment.
  • Demonstrate excellent understanding of business strategy and data science opportunities.
  • Communicate complex data challenges and solutions to diverse audiences across various levels of the banking organization, including those unfamiliar with advanced machine learning techniques.


Required qualifications, capabilities, and skills

  • Bachelor's or Master's degree in statistics, mathematics, data science, or a related technical or quantitative field, with 4+ years of applied experience.
  • Strong understanding of agile methodologies, statistics, and AI/ML engineering, with a proven track record of developing and deploying business-critical machine learning models in production.
  • Proficiency in programming languages such as Python, and experience with machine learning frameworks, libraries, and APIs, including TensorFlow, PyTorch, Scikit-learn, etc....
  • Ability to identify and address AI/ML challenges, implement optimizations, and fine-tune models for optimal performance.
  • Basic knowledge of data system components to determine necessary controls.
  • Excellent written and verbal communication skills to effectively convey technical concepts and results to both technical and business audiences.


Preferred qualifications, capabilities, and skills

  • Familiarity with the financial services industry.
  • Background in NLP and advanced analytics.
  • Knowledge of financial products and services, including trading, investment, and risk management.
  • Experience working with databricks/snowflake.


About Us
JPMorganChase, 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. 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, 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 & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors.
Commercial Banking provides credit and financing, treasury and payment services, international banking and real estate services to clients-including corporations, municipalities, institutions, real estate investors and owners, and not-for-profit organizations.

Top Skills

Alteryx
Python
PyTorch
Scikit-Learn
SQL
Tableau
TensorFlow

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