Senior Industry Consultant - Risk Modeling & Decisioning - Remote

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

If so, then you may be the new team member we’re looking for. Because at SAS, your curiosity matters – whether you’re developing algorithms, creating customer experiences, or answering critical questions. Curiosity is our code, and the opportunities here are endless.

What We Do 

We are the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo, and changing the way we live.

The US Risk Business Consulting group within the SAS Risk Research and Quantitative Solutions (RQS) organization provides advisory and consulting services on projects in the areas of Risk Scorecards, Credit Risk, Data Science, Machine Learning, Artificial Intelligence Expected & Unexpected Credit Loss, CECL, IFRS9, Regulatory & Economic Capital, Model Risk Management, Market Risk, Operational Risk, Liquidity Risk, ALM, etc.

Primary Responsibilities

• Analyze customer needs and create custom tailored product demos. Demonstrate our solutions to customers, work on proof of concepts, and assist in the development of intellectual property aligned to specific opportunities with our customers
• Prepare and deliver presentations to customers at the highest levels of management
• Work closely with sales and marketing to ensure successful positioning of industry solutions, and a consistent message is communicated to our customers and/or business partners that effectively represents the value and vision of SAS solutions
• Initiate and support lead generation activities and pipeline development. Play a pivotal role in support of sales cycle and achievement of revenue targets
• Keep abreast of industry trends. Demonstrate analytical leadership in positioning Risk Management, Treasury, Finance and Compliance solutions to customers
• Build trusted advisory relationship with current and prospective customers
• Conduct discovery processes to collect, analyze, clarify and document technical and business requirements that underpins solution proposals
• Collaborate closely with product management, industry consultants, pre-sales engineers, customers, and R&D to explore and design compelling analytics solutions to meet customer requirements and promote leading practices
• Provide direction on systems integration, and recommendations for solution architecture and deployment
• Assist in defining best practices for delivery and implementation of SAS solutions
• Manage relationships with partners, key consultancies, and system integrators to establish focused and effective strategic teaming arrangements

What We are Looking for:

• Customer-oriented senior leadership with broad range of skills and experience
• Hands-on experience in quantitative modeling and data science e.g., risk scorecards, pricing, cashflow, hedging, etc. Deep knowledge of machine learning and AI
• Experience modeling in SAS or other analytical tools such as Python, R
• Knowledge of advanced statistical analysis concepts, and ability to apply them to data sets
• Minimum of 8+ years’ experience in Banking, Insurance and/ or Data Science/ Modeling within a financial institution or consulting firm
• Excellent communication skills and ability to demonstrate experience and executive presence to engage with senior executives. Ability to communicate technical and detailed analytics
• Self-starter; works well as an individual contributor as well as a team member
• Ability to manage multiple initiatives simultaneously
• Graduate degrees in Statistics, Financial Math, Economics, Computer Science, Engineering, or any other field with emphasis of quantitative science
• Ability to travel at least 25% as business needs dictate

The Nice to Haves

• Experience in building machine learning models such as gradient boosting, random forest, decision tree, feature engineering, reinforcement learning or others
• PhD in a quantitative field, e.g., physics, engineering, finance
• Experience in product management, pre-sales support, strategy, and implementation in the financial services industry with specific focus on risk management applications and consulting services
• Understanding of business functions in Treasury, Enterprise Risk Management, or Global Markets.
• Risk domain knowledge– credit risk, credit decisioning, market risk, enterprise risk, and/or operational risk
• Experience in quantitative modeling, risk scorecards, risk and treasury management, credit loss forecasting, PPNR, counterparty credit risk, etc.
• Globally recognized risk certifications such as FRM, CFA, MBA Financial Engineering, etc. or equivalent experience

Why SAS

• We love living the #SASlife and believe that happy, healthy people have a passion for life, and bring that energy to work. No matter what your specialty or where you are in the world, your unique contributions will make a difference
• We commit to invest in you as much as you invest in us. For over a decade, SAS has been ranked in the top 10 of the World’s Workplaces Best Great Place to Work® and Fortune. We stand out for creating exceptional experiences for our employees, building high-trust relationships, and providing a fair and equal workplace. We look forward to creating a platform for you to meet and exceed your long-term professional goals
• Our multi-dimensional culture blends our different backgrounds, experiences, and perspectives. Here, it isn’t about fitting into our culture, it’s about adding to it -- and we can’t wait to see what you’ll bring