JPMorganChase Logo

JPMorganChase

Quantitative Research - Payments - Associate

Posted 21 Hours Ago
Be an Early Applicant
Hybrid
New York, NY
Entry level
Hybrid
New York, NY
Entry level
As an Associate in Quantitative Research - Payments, you will support the team in optimizing Net Interest Income and client pricing through data analytics and machine learning. Responsibilities include building data pipelines, automating processes, and developing data-driven decision-making tools. You'll communicate insights to stakeholders and drive projects from inception to model development.
The summary above was generated by AI

Job Description
Discover a unique opportunity to become a part of our Quantitative Research team in New York, where your focus will be on Payments.
Job Summary:
As an Associate in Quantitative Research - Payments within the Corporate Investment Bank Payments team, you will be part of an expanding new team supporting the Liquidity and Account Solutions team within Payments, optimizing Net Interest Income and client pricing through the innovative use of data analytics, time series analysis and machine learning. You will help create a globally consistent deposit and pricing toolset used in decision making.
As part of the Commercial and Investment Bank, the Payments business generates around $17bn of revenue annually, holding over $700bn of cash deposits with a global presence in over 160 countries.
Job Responsibilities:

  • Reconcile data sources and build data pipelines to form a comprehensive data set fit for modelling and visualization
  • Build up a scalable data architecture to handle the large volume of transaction data
  • Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management
  • Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints
  • Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development
  • Make real-world, commercial recommendations through effective presentations to various stakeholders
  • Leverage data visualization to communicate quantitative insights to help business decision-making


Required qualifications, capabilities, and skills:

  • You have advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc.
  • You demonstrate strong desire to work with data and are comfortable in handling large datasets as well as building efficient data and Machine Learning pipelines
  • You demonstrate experience in writing production quality code and familiarity with testing and source control
  • You have experience in data analytics using open-source Python packages (pandas/numpy/scikit-learn/tensorflow)
  • You demonstrate strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience
  • You demonstrate a strong intellectual curiosity, and an interest in understanding at a deeper level how a bank operates


Preferred qualifications, capabilities, and skills:

  • Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub
  • You demonstrate hands-on experience in solving sequential decision making problems
  • You have knowledge/Experience with cloud based infrastructure
  • You have experience in building scalable machine learning models


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 Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Top Skills

Python

JPMorganChase London, England Office

25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP

Similar Jobs at JPMorganChase

Mid level
Financial Services
As a Machine Learning Scientist in NLP, you'll research and develop machine learning models to solve real-world problems, particularly focused on tasks like NLP and recommendation systems. Collaboration is key as you work with various teams to deploy solutions and drive initiatives across the firm.
Top Skills: Python
16 Hours Ago
Hybrid
New York, NY, USA
Entry level
Entry level
Financial Services
As a Command Center Analyst, you will support the Global Security team by coordinating incident management, monitoring situations, and providing real-time responses to potential threats. This role involves research into security risks, logistical support for crisis management, and ensuring the safety of employees and assets.
Top Skills: Gis
Internship
Financial Services
As a Summer Analyst in the Global Families Group, you'll provide customized wealth management solutions to international clients, work on team projects, develop complex solutions, and gain valuable industry experience while collaborating in a fast-paced environment.

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account