Model Risk Management at Capital One - US
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R160189 Posted 11/09/2022

Model Risk Management

Bengaluru, India
  • Category Data Analyst
  • Experience Sr. Associate
  • Primary Address Bangalore, Karnataka

Overview

Voyager (94001), India, Bangalore, Karnataka

Model Risk Management

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 Data Scientist 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 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

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

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).

Hiring Process
Stories
Benefits
Career Journey

How We Hire

We take finding great coworkers pretty seriously.

  • Step 1 Apply

    It only takes a few minutes to complete our application and assessment.

  • Step 2 Screen and Schedule

    If your application is a good match you’ll hear from one of our recruiters to set up a screening interview.

  • Step 3 Interview(s)

    Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you.

  • Step 4 Decision

    The team will discuss — if it’s a good fit for us and you, we’ll make it official!

How to Pick the Perfect Career Opportunity

Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence.

Your wellbeing is our priority

Our benefits and total compensation package is designed for the whole person. Caring for both you and your family.

  • Healthy Body, Healthy Mind

    You have options and we have the tools to help you decide which health plans best fit your needs.

  • Save Money, Make Money

    Secure your present, plan for your future and reduce expenses along the way.

  • Time, Family and Advice

    Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell.

Career Journey

Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

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