Overview

Voyager (94001), India, Bangalore, Karnataka

Senior Associate- Model Risk Management

At Capital One, we think big and do bigger things. We were the first company to develop and offer mass customization and personalization of credit card, auto loans and other financial services products, and we have been innovating relentlessly ever since.

Today, we are a progressive financial services powerhouse spanning Credit Cards, Auto Loans, Savings, and Commercial Banking and at the same time a high-tech company, a scientific laboratory, and a well-recognized brand all in one.  We are a passionate and entrepreneurial team with heart – a team that embraces bold ideas, fosters collaboration, and delivers world-class products and services 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. Our goal is simple – bring ingenuity, simplicity and humanity to an industry ripe for change. 

At DataLabs, Capital One India, we solve fundamental business problems at scale using advanced analytics, data science and machine learning. We specialize in deriving valuable insights about various aspects of the business - including product and process design, consumer behavior, regulatory and credit risk, and much more - from large volumes of data to build cutting edge patentable products at an industrial scale.

DataLabs is looking for Senior Associate in model risk management to spearhead our foray into autonomous and intelligent data products that solve the full gamut of business and analytical needs. This role involves working with heads of lines of businesses in our Financial Services division to understand contemporary business needs, lead analytical teams to make impactful and actionable offers, and work with Engineering groups to lead tech delivery of large product builds. The role encompasses recruiting, developing and motivating an exceptional team that is drawn from elite campuses in India and abroad, and focused on our mission to develop world class data products.

At DataLabs, you will work in a fast paced and intellectually rigorous environment. You will apply strategic analytical and product leadership skills to major business challenges. You will have the opportunity to learn and build deep expertise in the core areas of advanced analytics, industrial-scale product design, development and deployment, data science and machine learning. And you will do it all in a collaborative environment that values problem solving, encourages creativity, promotes learning, and rewards innovation. 

DataLabs prides itself on its exceptionally vibrant culture. Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates. Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us. The enthusiastic volunteerism of our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way. We bend backwards to take care of one another through thick and thin. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives.

Team Description

At DataLabs 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. 

In DataLabs Model Risk Management team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We also understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes and develop increasingly powerful techniques to avoid their repetition.

Role Description

In this role you will: 

• Partner cross-functionally with data scientists, quantitative analysts, business analysts, software engineers, and project managers to manage the risk and uncertainty inherent in statistical and machine learning models in order to lead Capital One to the best decisions, not just avoid the worst ones.

• Build and validate statistical and machine learning models through all phases of development, from design through training, evaluation and implementation

• Develop new ways of identifying weak spots in model predictions earlier and with more confidence than the best available methods

• Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners

• Leverage a broad stack of technologies — Python, R, Conda, AWS, and more — to reveal the insights hidden within huge volumes of data

• Build upon your existing machine learning and statistical toolset - both by learning new technologies and by building custom software tools for data exploration, model performance evaluation, and more

• Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management

• Flex your interpersonal skills to translate the complexity of your work into tangible business goals, and challenge model developers to advance their modeling, data, and analytic capabilities 

• The ideal candidate is:

• Inquisitive.  You thrive on bringing definition to 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 with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

• Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, time series, and deep learning.

• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

Basic Qualifications:

• Degree in statistics, math, engineering, economics, econometrics, financial engineering, finance, or operations research with a quantitative emphasis preferred

• 1+ years relevant work experience

• Experience in Python or R

Preferred Skills:

• Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, survival analysis, panel data models, decision trees, machine learning methods)

• 2+ years of experience model development or validation 

• 2+ years of experience in R or Python for large scale data analysis

• 2+ years of experience with relational databases and SQL

• Experience in Financial Risk across any area or Financial Risk Management (FRM) certification

• Strong analytical skills with high attention to detail and accuracy

• Excellent written and verbal communication skills

No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. 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).