Fiserv

Data Scientist

Fiserv$104K — $160K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in a related field
  • 3-5 years of analytics experience with 1-2 years in risk modeling
  • Strong experience with predictive analytics tools like Python, Spark, R, and SQL
  • Hands-on experience in data collection and summarization using SQL
  • Thorough knowledge of statistical methods and techniques for predictive modeling

Responsibilities

  • Identify and analyze fraud behavior patterns in payment data
  • Develop and implement predictive models using statistical techniques
  • Install and track performance of predictive model code in ORACLE and Python
  • Collaborate with internal and external stakeholders on risk strategy
  • Present analysis and models to client banks for policy negotiation

Benefits

  • High degree of interaction with decision-makers in the e-payment sector
  • Opportunities for learning and developing skills in modeling
  • Engagement with external stakeholders, enhancing networking potential
  • Involvement in the full predictive modeling cycle from data preparation to policy implementation
  • Exposure to a large data environment
Full Job Description
Job Title
Data Scientist

What does a great Data Scientist do?
The Risk Analysts in EPayments are the data scientists responsible for the identification of fraud behavior patterns, the estimation of predictive models and the installation of policies to reduce losses for our client banks. Our analysts are responsible for the full predictive modeling cycle, including data preparation, model estimation presentation to clients, installation of policies and performance tracking.

This position is an excellent opportunity to learn and develop modeling skills for the e-payment sectors, work in a large-date environment and apply statistical forecasting techniques. It also provides a high degree of interaction with internal decision makers and external stakeholders in the industry.

As a Risk Data Scientist, you can look forward to:
  • Using statistical techniques to examine payment data provide measures for outlier identification on key measures such as transfer velocity, ip-distance profiling and device recognition.
  • Creating the predictive measures for the patterns and collecting the information using SQL on ORACLE and Python/Spark data structures.
  • Estimating predictive classification models to separate legitimate from fraudulent behavior, using XGBoost, LighGBM and neural network libraries.
  • Installing the predictive model code in our systems and collecting performance both in ORACLE and Python and creating the policy for actions to be taken (manual review, live challenge using SMS, suspension etc...)
  • Interacting with heads of the fraud-strategy departments at the client banks. Our analysts present the policies, document the models and negotiate approvals and timelines for implementation with the stakeholder at the bank.


Required Skills:
  • Thorough understanding of statistics, confidence intervals and some background on CHAID, statistical distributions and estimation methods such as regression, binning confidence interval etc.
  • Must have hands-on experience collecting data in SQL from data systems and summarize the attributes for the data in counters, sums, histograms and frequencies. Summarize information for distributions and finding quantiles and running totals.
  • Hands on experience processing data in Python: Should be able to read a csv file, import the data, run counters and summary distribution, aggregate totals and do exploratory analysis on a data set.
  • Should be able to estimate classification/ predictive models using the open-source library in Scikit learn for Python. Measure the goodness of fit and compare them across alternative models, such as ROC, gains charts.
  • Should be able to measure changes in underlying distributions, and compare between different populations or policies.
  • Document the analysis and present it verbally providing insights on the factors that are most relevant for the model and how can it be used to predict/manage a policy.


Basic Qualifications for Consideration
  • Bachelor's Degree in related field
  • 3-5 years analytics experience, with 1-2 years of risk modeling experience
  • Strong experience with predictive analytics tools - Python/Spark/R/SQL


Preferred Qualifications for Consideration
  • Client facing or consulting experience
  • Previous e-commerce fraud prevention is a plus
  • Experience with ML modeling tools such as Spark, H20, Hadoop, etc


Salary Range
$104,000.00 - $160,800.00

These pay ranges apply to employees in Sunnyvale, California. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

This position is not eligible for an annual incentive opportunity and is also not eligible to earn commissions.

Thank you for considering employment with Fiserv. Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

About Fiserv

CashEdge(R) provides infrastructure that global financial institutions rely on to extend their online channels and enhance customer profitability. CashEdge delivers secure Online Money Movement and Advanced Account Aggregation platforms that power specialized retail banking and advisor applications. These proven solutions enable CashEdge's clients to create compelling online offerings that attract customers, generate revenues, and reduce costs. CashEdge serves top-tier financial institutions around the world. Clients and partners include Vanguard, RBC Financial Group, CIBC, Yahoo! Finance, Digital Insight, First Data, TD Canada Trust, NYCE, Laurentian Bank, Financial Fusion and Corillian. CashEdge has offices in New York and Silicon Valley.

Fiserv Careers

Join the Fiserv team today and be part of a dynamic company known for innovation, leadership, and a commitment to the professional growth of its employees. At Fiserv, we offer more than just job opportunities; we provide a platform where skills are honed, leadership is cultivated, and career aspirations are achieved. Work You’ll Do At Fiserv, we are constantly on the lookout for talented individuals eager to thrive in a culture that fosters growth and diversity. Our team is composed of professionals who lead the way in financial services technology. By joining us, you will collaborate with some of the brightest minds in the industry, working together to solve complex challenges and deliver innovative solutions that impact millions of people every day. Explore Our Job Opportunities Whether you're seeking an entry-level position or a more senior role, Fiserv offers a range of career paths in areas such as software development, project management, financial analysis, and client services. Our hiring process is designed to identify and attract individuals who are not only technically proficient but who also embody our values of integrity and responsibility. Internship Programs Kickstart your career with a Fiserv internship. Our internships provide invaluable workplace experience and networking opportunities that often lead to full-time employment. As an intern, you’ll gain hands-on experience while working on meaningful projects that directly contribute to the company’s goals. Benefits and Culture Fiserv is committed to the well-being and continuous development of our employees. We offer competitive benefits including health, dental, and vision insurance, as well as opportunities for professional development through leadership training and diversity programs. Our culture is one of inclusion, where every team member is valued and has the opportunity to contribute to our success. Career Growth and Development We believe in nurturing the potential of our employees through career development initiatives and continuous learning opportunities. At Fiserv, you will find a supportive environment where you can grow your career through on-the-job experiences, mentoring, and formal training. Stay Connected Join Our Team Search open positions that match your skills and interests. We look for passionate, curious, creative, and solution-driven team players. Start your journey with Fiserv today and help shape the future of financial services. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities that await at Fiserv. Explore, innovate, and grow with Fiserv. Let your career journey begin here, where you can make a real difference in the world of finance.
Learn more about Fiserv
Size
44,000 employees
Market Cap
$63.4 billion
Industry
Net Income
$958 million
Founded
1984
5 Year Trend
+24.1%
Revenue
$14.8 billion
NASDAQ

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