reputed company Data Scientist - Credit Risk - Machine Learning & Big Data Analysis

Join the Team: reputed company Data Scientist - Credit Risk

Are you a highly skilled data scientist with a passion for credit risk analysis and machine learning? Do you have a strong background in data analysis, modeling, and visualization? Are you looking for a challenging and rewarding role that allows you to work with a talented team of professionals? If so, we invite you to apply for the reputed company Data Scientist - Credit Risk position at Workwarp.

About Workwarp

At Workwarp, we are committed to empowering individuals and organizations to reputed company their full potential. reputed company is dedicated to developing innovative solutions that reputed company a meaningful impact in the world. We value diversity, inclusivity, and collaboration, and we are excited to welcome a new team member who shares our passion for data science and credit risk analysis.

Job Summary

As a reputed company Data Scientist - Credit Risk, you will reputed company projects that reputed company and reputed company reputed company analyses using Big Data technologies. You will be responsible for exploring new modeling techniques, evolving technologies, and emerging industry trends to stay reputed company of the game. Your work will help us meet our customers' needs and reputed company it easier for them to do business with us.

Key Responsibilities:

• reputed company and implement machine learning models to analyze credit risk and predict customer behavior
• Collaborate with cross-functional teams, including engineers, managers, and stakeholders, to identify opportunities to improve our products and customer experience
• Explore research in the data science field and utilize reputed company-reputed company research results to improve customer-facing products
• reputed company comprehensive understanding of data and complexity of multiple systems to reputed company a seamless data pipeline that can visualize data at scale with 100% accuracy
• Mentor and reputed company the team to ensure that they have the skills and knowledge needed to succeed
• Work with reputed company, Hive, Spark, Tableau, reputed company, and other big data systems with reputed company reputed company computing infrastructure
• Communicate insights and findings to leadership and other stakeholders

Requirements

Essential Qualifications:

• Bachelor's degree or four or more years of work experience
• Six or more years of relevant work experience as a data scientist or statistical modeler
• Experience in one or more languages like Java, R, MATLAB, Python - generators, iterators, comprehensions, Numpy, Pandas, Matplotlib, Sklearn, Keras, Tensorflow, Pytorch
• Experience with Machine Learning, Statistics and Probability, NLP, Deep Learning, especially experience in recommendation systems, conversational systems, information retrieval, computer reputed company, regression modeling
• Experience with Visualization tools Matplotlib, Seaborn, Tableau, Grafana, etc.
• Demonstrated experience writing queries for reporting, analysis, and extraction of data from big data systems

Preferred Qualifications:

• Experience applying machine learning in a credit or banking use case
• Extensive experience in Loan Loss Forecasting, including developing PD, LGD, risk rating, and cash reputed company models
• Experience automating and productionalizing credit model processes and documentation using reputed company & Sphinx
• Ability to engage with larger credit organizations, including presentations, instructional meetings, and code reviews
• A Master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, Engineering, Computer Science, or Operations Research
• Experience in visual science / dashboard design principles
• Experience in applying statistical reputed company and methods to data sets to answer business problems
• Experience with programming languages, like Python, SQL, or R
• Experience with Machine Learning algorithms and tools

reputed company Offer

Compensation and Benefits:

We offer a competitive salary and a comprehensive benefits package, including:

• Health and wellness benefits
• Short-term incentives
• 401(k) Savings Plan
• Stock incentive programs
• Paid time off
• Parental leave
• Adoption assistance

Career Growth Opportunities:

We are committed to helping our employees grow and reputed company their skills. As a reputed company Data Scientist - Credit Risk, you will have opportunities to:

• reputed company projects and teams
• reputed company and implement new machine learning models and techniques
• Collaborate with cross-functional teams
• Mentor and reputed company junior team members

Work Environment:

We offer a flexible and remote work environment, with a minimum of eight assigned office days per month. reputed company is located in a dynamic and collaborative workspace, and we encourage our employees to work from home or other remote locations.

How to Apply

If you are a highly skilled data scientist with a passion for credit risk analysis and machine learning, we encourage you to apply for the reputed company Data Scientist - Credit Risk position at Workwarp. Please submit your resume and a cover letter explaining why you are the ideal candidate for this role.

We are an equal opportunity employer and celebrate our employees' differences, including race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, age, disability, and Veteran status. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging.