| :Looking for Data Scientist::Min 12+ Years::Financial Client Exp Must at Remote, Remote, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1750168&uid= From: Ram, Soyo Soft Inc [email protected] Reply to: [email protected] Looking for Data Scientist Remote Min 12+ Years Financial Exp Must Immediate hire Job Description Brief Description The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various credit risk, fraud risk, and operational areas at SoFi. The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams to design solutions to enhance the loan origination process, prevent login fraud and account take over, and support loss mitigation, etc. These tasks involve developing complex business rules to researching and applying state of the art machine learning modeling methodologies to solve complex business problems. This role is very rewarding as your work will have a direct and immediate impact on the business profitability. Description SoFi is a digital personal finance company whose mission is to help its members achieve financial independence to realize their ambitions, whether that be to buy a house one day, start a family on their own terms or be debt free. We aim to be at the center of our members financial lives, and to help every member Get Their Money Right. By joining SoFi, youll become part of a forward-thinking company that is transforming financial services by embracing technology to build innovative loan products, investment tools, and more. One of the fastest growing fintech companies, weve grown from 250 employees in 2015 to over 1,500 employees today and are well on our way to reaching 1 million members. With offices across the US, we offer the excitement of a rapidly growing startup with the stability of a seasoned management team and some of the best talent around. As an employer, we strive to hire employees who are committed to both our companys mission and our desire to build the best culture in the world. If you are driven, passionate about what you do, and excited about the SoFi mission, we would love to hear from you. The Role The Risk Operations Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams to design solutions for underwriting, account and/or portfolio management, loan processing enhancement, fraud detection and prevention, and loss mitigation, etc. These tasks involve developing complex business rules to researching and applying state of the art machine learning modeling methodologies to solve complex business problems. This role is very rewarding as your work will have a direct and immediate impact on the business profitability. What Youll Do Develop, implement, and continuously improve machine learning models and strategies that support various credit, risk, and operational procedures including but not limited to underwriting, account and/or portfolio management, loan processing enhancement, fraud detection and prevention, and loss mitigation, etc Proactively identify opportunities to apply advanced machine learning approaches (e.g., NLP, Image Recognition, Graph Mining, etc.) to solve complex business problems Explore and leverage in-house, external, and other open-source machine learning software/algorithms Collaborate with Model Risk Management team to demonstrate models are developed with high level rigor that satisfy Model Risk Management and Governance requirements Work closely with the Product and Engineering teams for model deployment Perform ongoing monitoring of the models through the construction of dashboards and KPI tracking Present model performance and insights to Credit, Risk, and Business Unit leaders What Youll Need Bachelors degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or quantitative field required. Masters degree preferred. 2-3 years of relevant work experience with building and implementing machine learning models Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression, classification, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks, deep learning and its various applications. Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies Strong programming skills in Python and machine learning libraries (e.g., sklearn, lightgbm, xgboost, pytorch, tensorflow, keras, etc.) Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc. Effective communication skills and ability to explain complex models in simple terms Nice To Have Experience in a financial organization Experience with model documentation and delivering effective verbal and written communication Experience in working closely with Product, Engineering, and Model Risk Management teams Experience with AWS or GCP Solid knowledge of leveraging graph neural networks or GenAI to solve some practical problems Experience with graph databases -- Keywords: :Looking for Data Scientist::Min 12+ Years::Financial Client Exp Must [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1750168&uid= |
| [email protected] View All |
| 01:28 AM 14-Sep-24 |