Risk Data Scientist Position Available In Union, New Jersey

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Risk Data Scientist What does a great Risk Data Scientist on the Risk Office team do at Fiserv? As a Data Scientist on the Risk Office team at Fiserv, you will utilize your expertise in data analysis, machine learning, and statistical modeling to uncover insights and develop predictive models that enhance our fraud rules. By collaborating with diverse teams, you will analyze extensive transactional data, detect patterns of fraudulent behavior, and continuously enhance our monitoring systems to safeguard our clients from evolving threats.

What You Will Do:

Analyze vast datasets to detect trends, patterns, and anomalies indicating payment card compromises within a client’s portfolio. Develop, implement, and maintain predictive models and machine learning algorithms to strengthen fraud detection capabilities. Collaborate with data engineers and analysts to optimize data pipelines, ensuring data quality for analysis. Create visualizations and reports to convey results and insights to stakeholders in actionable terms. Stay updated on industry trends, emerging technologies, and best practices in data science, machine learning, and fraud detection. Participate in innovative brainstorming sessions to design solutions for fraud detection and prevention. Contribute to documenting methodologies, algorithms, and processes for knowledge sharing and future reference.

What You Will Need To Have:

Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field; Ph.D. is advantageous. 3+ years of experience in data science, machine learning, or statistical analysis, with a preference for the financial or payments industry. Proficiency in Python or R for data analysis and model development. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras) and data manipulation libraries (e.g., Pandas, NumPy). Familiarity with SQL for relational database querying and management. Strong knowledge of statistical methods such as regression analysis, clustering, time series analysis, and classification. Exceptional analytical skills for deriving insights from complex datasets. Effective communication skills for conveying technical findings to non-technical stakeholders. Ability to thrive in a fast-paced, collaborative team environment. Salary Range $110,700.00 – $189,700.00 These pay ranges apply to employees in New Jersey, New York and 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. For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company’s sole discretion. Thank you for considering employment with Fiserv.

Please:

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Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.

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