Voyager (94001), India, Bangalore, Karnātaka
Senior Associate, Business Analysis
At Capital One, we think big and do bigger things. Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt and deliver a better way for our customers, the financial industry and for each other. Our goal is simple – bring ingenuity, simplicity and humanity to an industry ripe for change.
As a Senior Associate, Business Analysis at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
At Capital One India, we are at the cutting edge of solving some of the fundamental business problems using advanced data methodologies, statistics and machine learning algorithms. The team operates at the intersection of product, engineering and data, designing scalable algorithms and analytical frameworks as a part of core modernization initiatives. Our focus is on building intelligent, reusable solutions that improve testing efficiency, generate accurate and meaningful insights, and enable faster decision-making. By combining domain expertise with advanced analytics and machine learning, the team aims to reduce operational cost, accelerate validation cycles, and strengthen risk coverage across modernization efforts.
About the Role
In this role, you will
- Bridge business context with data-driven insights by partnering with cross-functional teams (business, data science, engineering, product) to define problems and shape analytical approaches.
- Translate ambiguous business problems into clear analytical questions, use cases, and structured solution approaches.
- Ensure models and analyses are grounded in real-world business context; validate outputs against expected behavior and refine hypotheses accordingly.
- Interpret and translate complex analytical outputs into clear, actionable insights and recommendations that inform business strategy.
- Communicate technical concepts effectively to diverse audiences, including senior leadership, through structured presentations and storytelling.
- Collaborate with stakeholders to understand processes, identify gaps, and uncover opportunities to improve decision-making and policies.
- Support product adoption by helping users understand, trust, and act on analytical outputs.
- Act as a liaison between business users and the product team; gather feedback and drive continuous improvement in solutions and workflows.
Basic Qualifications:
- Bachelor’s degree in statistics, math, engineering, economics, econometrics, financial engineering, finance, or operations research with a quantitative focus.
- At least 2 years of experience in data analysis or business analysis.
Preferred Qualifications:
- Experience in financial services, technology, or other highly regulated industries.
- 2+ years of experience in R or Python for large scale data analysis.
- 2+ years of experience with relational databases and SQL.
- Strong analytical skills with high attention to detail and accuracy.
- Proficiency in key econometric and statistical techniques (such as bivariate assessments, hypothesis testing, regression modeling, etc.).
- Excellent written and verbal communication skills.
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
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For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).