Senior Associate, Business Analysis
Capital One · Bengaluru · onsite · Posted 69d ago
About a minute. You'll make an account on the way through.
About this role
Senior Associate, Business Analysis
At Capital One 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.
Today, we are a high-tech company, a scientific laboratory, and a nationally recognized brand all in one impacting over 65 million customer accounts. 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.
As a Senior Associate at Capital One, you will apply your analytical skills to major company challenges. Youll team with world-class professionals to develop and test strategies that ultimately impact how the company manages compliance and risk. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.
Role Description
General responsibilities include but are limited to:
- 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.
- Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment.
The ideal candidate is
- Inquisitive: You thrive on solving big, undefined problems. You love asking questions and pushing hard to find answers. You re not afraid to share a new idea.
- Technical: You re comfortable developing complex analytical solutions. You have hands-on experience conducting business analyses using open-source tools.
- Innovative: You continually are on the lookout for novel approaches, solutions and emerging technologies to solve business problems. You stay current on regulatory changes, state-of-the-art methods, technologies, and applications and seek out opportunities to adapt to them.
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 Skills
- 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.
- Experience in Fraud or Anti-money Laundering domain.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Capital One
FinTech
175
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1994
32 years old
McLean
United States
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