Payments - Data Scientist Associate
Mumbai, Maharashtra, India
JPMorgan Chase & Co.
Posting Description :
The Payments Data and Analytics team is responsible for defining and executing the multi-year global analytics strategy and roadmap. We are a new and rapidly growing team of change agents inside J.P. Morgan. We are data scientists, design strategists, and business leaders creating and building data products that transform the way we and our clients do business - balancing the art of decision making with science. What we build matters and will have huge impact; our products and solutions will reach thousands of our clients around the world, and affect how J.P. Morgan does business, moving trillions of dollars a day.
New technologies, analytics and business models are emerging with the potential to radically transform financial services. You will be at the leading edge inside the company driving change..
Job Summary :
The Data Scientist Associate role with the Payments Data and Analytics team is responsible for executing big data analytics projects in response to product innovation and customer support for Merchant Services. Tangible output of the programs are payments insights that drive optimization of authorization, for large merchants – as well as deep consumer and business insights. As the analytics mature, these insights can be productized into products for merchants (“insights as a service”).
Job responsibilities:
- Develop analytic projects through understanding the business objectives in the team strategy roadmap
- Provide a high level of responsiveness to client ad-hoc requests related to payment performance analysis. This include data collection, synthesis, and translation of results into concrete actionable solutions in support of those clients.
- Specific tasks include writing and running SQL queries, creating tables, preparing data, creating tableau visualizations and producing PowerPoint and excel spreadsheets that deliver insight both as an individual contributor and in collaboration with team mates.
- Through deep subject matter expertise, create actionable recommendations to merchants on how to optimize their payment performance
- Validation of team’s SQL scripts, Tableau visualization and ad hoc analyses
- Develop automated data validation process to ensure quality and completeness of data consumed from source datacts.
Required qualifications, capabilities and skills:
- Bachelor’s or Master’s degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field
- 3+ years of working in a big data environment as a contributing member in self-directed roles
- Must have deep experience in SQL. Experience in automation and Python are preferred
- Experience using Data Visualization tools such as Tableau
- Basic awareness of Big Data technologies & their applications
- Proficiency with Microsoft Office Suite (Word, Excel, PPT)
- Ability to perform rapid prototyping in Tableau or any BI tool is a plus
- Expertise in quantitative research techniques and analytics using R, python or MATLAB is a plus
- Demonstrated ability to distill KPIs and other performance metrics from data
- Ability to clearly develop and document analytic requirements with stakeholders
- Experience in the payments industry and/or technology-enabled industries is desirable
- Strong aptitude for technical concepts and ideas
- High achievement orientation with ability to motivate others around results
- Ability to work well within deadlines
- Exceptional analytical, problem solving, communication and presentation skills
- Ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
- Proven strategic thinking and creative problem solving skills with ability to translate strategy into deliverables
- Strong written and oral communication skills
Preferred qualifications, capabilities and skills:
- Build trust-based relationships; we succeed as a team
- Have strong interpersonal and communication skills and the ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
- Think creatively and contribute ideas at all levels of project development
- Have the ability and willingness to learn new things
- Meet deadlines and communicate obstacles to delivery as soon as they become known
- Demonstrate effective and confident presentation skills
- Be results oriented and have great attention to detail
- Excellent analytical and logical thinking to understand and analyze complex business processes
- Strong organizational and prioritization skills, detail oriented, and strong interpersonal skills
- Ability to work in a high-paced environment, be flexible, follow tight deadlines, organize, and prioritize work
- Be a team player who shows commitment and dedication while maintaining a positive attitude and high level of performance on high profile/time-sensitive initiatives
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 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Big Data Computer Science Data Analytics Data visualization Engineering Excel KPIs Mathematics Matlab Prototyping Python R Research SQL Statistics Tableau
Perks/benefits: Flex hours
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