Quant Analytics- Analyst
JPMorganChase
Date: 2 weeks ago
City: Bengaluru, Karnataka
Contract type: Full time
Job Description
You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team.
As a Quant Analytics Analyst within the Analytics Team, you will leverage your expertise in tools like SAS, SQL, Python, and Alteryx to deliver complex analytical projects. You will build statistical models, deploy them, and generate impactful insights with measurable P&L impact. You will collaborate with finance, marketing, technology, and business teams to present clear and concise results and recommendations.
Job Responsibilities
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 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.
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.
You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team.
As a Quant Analytics Analyst within the Analytics Team, you will leverage your expertise in tools like SAS, SQL, Python, and Alteryx to deliver complex analytical projects. You will build statistical models, deploy them, and generate impactful insights with measurable P&L impact. You will collaborate with finance, marketing, technology, and business teams to present clear and concise results and recommendations.
Job Responsibilities
- Experience in retail finance or Credit card finance within a bank a big plus
- Perform detailed quantitative analysis and data deep dive to answer questions pertaining to key business objectives
- Create and maintain dashboard to track key business p&l metrics
- Provide informative business financial information and coordinate business financial planning and budget management
- Partner effectively with finance, marketing and technology and business teams
- Present results and recommendations clearly and concisely
- Excellent knowledge of SQL and able to write complex sql queries.
- Experience in using Data extraction and Data analysis tools like SQL/Pyspark Sql/ Alteryx /Python/SAS
- Minimum 3 years’ experience working on analytical projects involving product analysis and statistical modeling
- Good knowledge of statistical modeling techniques related to time series forecasting, regression(line/logistic), ML model like XGBoost and NLP
- Have experience in building analytical dashboards using tools like Tableau, Quicksight, SAS Visual analytics, streamlit etc.
- Excellent communication (verbal and written) skills
- Proficiency in Microsoft Office (especially Excel)
- Basic understanding of cloud ops on AWS
- Bachelor’s degree in Engineering required, CFA/FRM/ MBA (Finance) an advantage but not mandatory
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 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.
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.
How to apply
To apply for this job you need to authorize on our website. If you don't have an account yet, please register.
Post a resumeSimilar jobs
Software Test Engineer (Entry Level)
Cisco,
Bengaluru, Karnataka
2 days ago
What You'll DoAt Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint....
Technical Support Engineering (Locations - Hyderabad, Bangalore and Noida)
Microsoft,
Bengaluru, Karnataka
2 days ago
With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product,...
Mechanical Engineer,Sr.
Lam Research,
Bengaluru, Karnataka
6 days ago
The group you’ll be a part ofLam Research is a leading global manufacturer of capital equipment used in making leading-edge-semiconductors across the world. We primarily compete in four specific areas – deposition, etch, photoresist strip, andsingle wafer clean. Lam Research India team is organized into three major areas of responsibility: Hardware, Software,and Operations. One of the major functional group of...
