2 Scorecard Development Jobs

Function: BCM Data & Advanced Analytics With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. Were harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, were calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of Manager/Sr Manager, Credit Decisioning Scorecard and/or Credit Risk Strategy Development In this role, you will be responsible for Development of Credit Decisioning Scorecards (Application, Acquisition, Behavioral, Collections Scorecards etc) and/or development of Credit Risk Strategies for banking and financial institutions. Responsibilities also include bringing in industry best practices and consultative inputs for scorecards and strategy development. Responsibilities You will be primarily working as a consultant for the centralized advanced analytics team of a banking or financial firm.; Your activities will include, but will not be limited to the following: Provide analytical support for recommending actions to mitigate risk and use judgment-based decision-making regarding policies and procedures. Assess the quality of the data for model development as well as inputs to the model, providing recommendations to improve the data quality at the source. Works hands-on in development, re-development and calibration of Credit Decision Scorecards and/or design Credit Risk strategies. Handling data and quantitative analysis to support modeling decisions. Leading development of model methodologies, algorithms and diagnostic tools for testing model robustness, sensitivity and stability. Detailing model techniques and interpretation of variables used in the models to be documented and presented to client Stakeholder. Validation for the source data quality, forecast data quality as well as change management. Drafting thorough technical documents for distribution and presentation to senior management, model developers, auditors and regulators. Developing Machine Learning based models and/or statistical and mathematical models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and prepare end to end model documentation. Conducting in-depth research on existing and emerging policies related to best practices in the industry and contributing to the creation of whitepapers. Researching and contributing to artifacts creation as required in a consulting role. Qualifications we seek in you! Minimum qualifications Hands-on experience in developing credit risk scorecards and credit risk strategies Statistical modeling experience including regression, GAM, time series, Markov TPM, survival techniques etc. Hands-on experience application of AI, ML, Deep Learning techniques (Neural Networks, RNN, CNN, LSTM, Decision Tree, Random Forest, SVM, Naive Bayes etc.) for development of predictive models Detailed knowledge of data analysis / analytics / mining techniques Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets. Strong scripting and automation experience using SAS/Python/R etc. Masters degree in a quantitative discipline (Statistics/Economics/Finance/Data Science etc.) Strong client management and communication/presentation skills written & verbal. Self-driven, proactive, can-do attitude. Ability to work under ambiguity and with minimal supervision. Strong project management experience and demonstrated expertise of communicating and coordinating across multiple business units. Strong project management orientation with ability to work under time-sensitive commitments. Lead projects and teams - provide thought leadership, technical guidance, training, and oversight. Preferred qualifications Strong networking, negotiation and influencing skills. Rich experience in BFS analytics & credit risk modeling

About the Role Wells Fargo is seeking a Quantitative Model Solutions Specialist to support monitoring for Retail models. The Retail Credit Decision Modeling team is responsible for model development and model monitoring for all Retail portfolios. In this role, you will: Participate in or help entry-level positions with low to moderately complex model maintenance and optimization initiatives related to operational processes, controls, reporting, testing, implementation, and documentation Analyze basic data sets, quantitative models, and model output to validate model efficiency and results in support of business opportunities Provide design thinking and best practices to resolve basic model optimization methodology and processes Present recommendations to leadership for resolving low to moderately complex situations by exercising independent judgment while developing expertise in quantitative model operations Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals Manage end to end model monitoring for specific line of business in retail portfolio. Coordinating the various activities related to business analysis and model monitoring. Participate in the development and testing of various analytical models for business unit. Develop methods to enhance the existing process to add efficiency, transparency and consistency while maintaining quality and responsiveness standards. Trouble-shoot issues and pro-actively enact solutions in real time. Required Qualifications: 2+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualification: 2+ years of experience in scorecard development, model monitoring, risk analytics experience, or a combination of both. Advanced degree in statistics, finance, math, engineering, or similar quantitative disciplines. Proficient in Python or R or SAS Bachelors degree in engineering in any field Proficient in Tableau, Power BI, or any of business intelligence tools Experience in producing high quality technical documentation with tools such as Excel. Word, and PowerPoint Excellent verbal and communication skills Advanced degree in statistics, finance, math, engineering or similar quantitative disciplines Good Python skills in performing complex data manipulation and modeling in Python Excellent analytical ability in interpreting data, analytical results to draw insights to develop credit scoring models and help business manage the credit risk effectively Familiarity with U.S based Bureau Data Excellent problem-solving skills and ability to connect dots, see big picture and find solutions and articulate in a clear manner Understanding of process, methodologies used in credit scoring model development, implementation, validation, and monitoring Ability to effectively manage multiple assignments with challenging timelines Experience in statistical modeling techniques Strong writing skills necessary for the review of highly detailed model documentation and reporting Flexibility and ability to thrive in a fast-paced, rapidly changing, highly complex environment