[unable to retrieve full-text content]Global Big Data Conference, a leading vendor agnostic conference for the Big Data community, will hold 5th conference in Santa Clara. Use code KDnuggets to save.
Original Post: Global Big Data Conference, Santa Clara, Aug 29-31 – KDnuggets Offer
[unable to retrieve full-text content]Learn how two data scientists quickly transformed from mere mortals into data science superheroes, now able to tackle more projects with better results – faster than a speeding bullet!
Original Post: DataRobot: The Making of Data Science Superheroes, Webinar August 31
[unable to retrieve full-text content]Seeking a hands-on-data scientist with deep experience in Statistical and Machine Learning to help us build and integrate data-driven intelligent solution into our business processes.
Original Post: Jefferies: Sr Data Scientist
[unable to retrieve full-text content]PAW Financial is the leading cross-vendor event covering the deployment of machine learning and predictive analytics for financial services. Register Now!
Original Post: Predictive Analytics World Financial NYC, Oct 29-Nov 2: Citi, E&Y, XLC, etc
[unable to retrieve full-text content]Seeking a Financial Services Analytics Senior Manager to deliver analytically-informed, issue-based solutions that help clients make faster, smarter decisions, play a critical role in helping them tackle complex business issues.
Original Post: Accenture: Financial Services Analytics Senior Manager
[unable to retrieve full-text content]AI and Analytics driven solutions have been widely adopted across different industries for various purposes. However, only a handful of banks around the world are working with advanced analytics and artificial intelligence technologies to improve their risk and compliance activities.
Original Post: Top 3 Breakthroughs in Combating Financial Crime
by Fang Zhou, Data Scientist; Graham Williams, Director of Data Science, all at Microsoft Credit Risk Scoring is a classic but increasingly important operation in banking as banks are becoming far more risk careful when lending for mortgages, credit card payments or other commercial purposes, in an industry known for fierce competition and the global financial crisis. With an accurate credit risk scoring model, a bank is able to predict the likelihood of default on a transaction. This will in turn help evaluate the potential risk posed by lending money to consumers and to mitigate losses due to bad debt, as well as determine who qualifies for a loan, at what interest rate, and what credit limits, and even determine which customers are likely to bring in the most revenue through a variety of products. Many banks nowadays are driving…
Original Post: Data Science Accelerator for Credit Risk Prediction
[unable to retrieve full-text content]Seeking an outstanding hands-on AI leader who can partner with business stakeholders and identify/prioritize top AI opportunities, create business/technical requirements, transform large volumes of data into AI-driven solutions using creative, and lead ML strategy and road map planning.
Original Post: Fidelity Investments: Vice President (AI Lead) – Artificial Intelligence, Machine Learning & Big Data
[unable to retrieve full-text content]Most people would have heard of the headline-making tremendous achievements in artificial intelligence (AI): Systems defeating world champions in board games like GO and winning quiz shows. These are small realizations of AI, but there is a silent revolution taking place in other areas, including Regulatory Compliance in Financial Services.
Original Post: Spotlight on the Remarkable Potential of AI in KYC (Know Your Customer)
[unable to retrieve full-text content]Come see top experts and practitioners present at Predictive Analytics World for Financial this October 29-November 2 in New York City. Minimize risk and multiply returns with data science!
Original Post: Stay Up-To-Date on Predictive Analytics for Financial in NYC