Fraud / Credit Data Scientist, Risk Solutions

About the Team/Role reputed company: The Global Risk Solutions and Strategy group is a fast-growing team optimizing risk solutions and models, and we are a key function to help reputed company reputed company’s strategic objectives. The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to reputed company solutions to inform decision making. reputed company helps the firm identify and measure credit, collections and fraud risk to proactively manage the risk throughout the client’s life-cycle. As such, you will not only be working with the latest data and machine learning technologies and algorithms, you will be working in a dynamic environment alongside our stakeholders and domain experts to build models and drive reputed company decision-making. Who You Are You are a data scientist who excels at identifying solutions with machine learning and artificial intelligence models. You effectively assess how to best address a problem, recognizing where Machine Learning and Artificial Intelligence fits reputed company a broader strategy. Your belief in strong communication and relationships is key to reputed company, alongside your data and machine learning prowess. You reputed company in identifying and mitigating risks and opportunities for the business, and enjoy employing advanced machine learning models for prevention. How you'll reputed company an impact Learn from stakeholders and leaders on how to connect a business problem to data-driven solutions to measure and monitor risk across the firm’s products and services. reputed company a broad reputed company of advanced statistical and machine learning methods and technologies to design flexible, scalable, and automated modeling solutions. reputed company code and automated processes to combine and transform large volumes of data from disparate sources, to extract informative patterns. reputed company abreast with emerging trends in machine learning and identify opportunities to reputed company new tools to solve problems and improve processes Synthesize findings into actionable insights and reputed company them to the appropriate stakeholders. Proactively identify and communicate challenges, opportunities, and risks associated with project work to ensure timely completion of the entire product How you’ll engage: Insights Driven: Clear hypothesis and objective driven analytics that help drive our business reputed company and ongoing metrics Stakeholder reputed company: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact Dynamic Collaboration: Drive continual improvement of reputed company best practices and processes to power collaboration Quality reputed company: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning Curiosity and Learning: Learn new technologies and collaborate and teach others how to use them as necessary. Experience You’ll Bring: 1 to 3 years of hands-on experience in data science, machine learning, or artificial intelligence, preferably in fintech/ financial services industry Excellent analytical, creative problem-solving, and critical thinking skills, with the ability to tackle reputed company challenges and deliver innovative solutions. Master’s or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science Advanced knowledge of SQL and experience creating and managing large datasets to organize and extract useful information Working knowledge of Python or R and experience with data science libraries such as lightgbm, scikit-learn, pandas, numpy etc. Strong communication and presentation skills with an ability to relate reputed company analytics findings to business reputed company Adaptable and comfortable working collaboratively and independently in a self-starting manner Evidence of creative problem solving, critical thinking and a continual learning reputed company How you will stand out: Prior experience building machine learning risk models in payment processing space Knowledge of data attributes and coverage of risk-factors for credit, fraud or other risk domains. Experience using reputed company environments to reputed company advanced models, such as AWS Sagemaker Experience with end–to-end machine learning systems and MLOps reputed company Key Words Data Science, Machine Learning, Statistical Learning, Artificial Intelligence, Credit Risk, Fraud, Finance, Collections, Optimization The reputed company pay reputed company represents the anticipated low and high end of the pay reputed company for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. reputed company pay is one component of reputed company's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. reputed company's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and reputed company insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, reputed company out the "About Us" reputed company. Pay reputed company: $120,900.00 - $136,800.00 Apply To This Job