Voyager (94001), India, Bangalore, KarnātakaSenior 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. You'll 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.
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 Anti-Money Laundering (AML) team is on a journey to modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. Our team develops data sourcing, predictive models, products, monitoring, and reporting using tools such as AWS, Snowflake, Python, and Spark.
As the team responsible for building AML products, we are responsible for understanding user needs, conducting business analyses and finding the right things to build in a product, develop and maintain.
Our mission is to empower data-driven decision-making, foster innovation without limits, and make Capital One’s AML program pre-eminent.
Role Description
General responsibilities include but are not 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 / Anti-money Laundering domain.
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.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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).
