Deloitte Model Risk Management, Senior Consultant - Analytics in Richmond, Virginia
We're looking for a sharp analytical thinker who's adept at data science, AI/ML modeling, and Model Risk Management to join our Advisory practice. You will assist our team in providing modeling expertise related to a wide range of models and purposes for Deloitte's clients in North America and worldwide. You will help develop, challenge, and control models used by organizations for a range of purposes including risk management and operations / business decisioning.
Work you'll do:
You will provide a range of qualitative and quantitative consulting services in the areas of data science, AI, model development, model validation, model risk management, modeling technology, model governance / controls / documentation, and financial instrument valuation.
Working across industry sectors, we bring deep experience in data science, AI, modeling, and Model Risk Management. We have a highly-specialized expertise connected with a deep understanding of our clients businesses and markets, and regulatory environments, which enables us to provide insights related to the full spectrum of business transactions. This helps us identify opportunities for growth and maximize long-term advantage for our clients. Learn about Deloitte's Regulatory & Operations Risk Practice.
Strong background in mathematical finance at the level of a Master's level degree in Mathematical Finance, Mathematics of Finance, Financial Engineering or Quantitative Finance or related field. Very strong undergraduates with necessary background and/or relevant work experience may be considered.
Familiarity with data science, AI, modeling techniques, financial markets, derivative valuation, trading, deal structuring or risk management
3 to 5 years of relevant work experience (data science, AI, and/or model development, validation, governance, financial instrument pricing, risk management, data analysis)
Understanding of financial instrument valuation concepts
Strong analytical and computer skills including experience with quantitative analysis technical tools and techniques.
Ability to explain difficult financial modeling/valuation concepts to diverse audiences and to experts at various clients.
Candidate needs to be comfortable providing technical assistance and financial modeling expertise to non-technical clients and internal teams.
Provide recommendations for improved and enhanced business efficiency to clients.
Apply problem solving skills and deliver Deloitte methodology on engagements.
Exercise professional judgment on engagements by providing proactive solutions and recommendations.
Demonstrate leadership skills.
Build and broaden industry knowledge to support organization and function initiatives by taking advantage of local and national training programs.
Ability to multi-task and communicate effectively with clients and staff in consultative settings.
Limited immigration sponsorship may be available
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
Related consulting experience.
Background in derivatives finance, including detailed knowledge of derivatives theory and securities pricing and financial instrument types and structures.
Master's degree in Mathematical Finance, Mathematics of Finance, Financial Engineering or Quantitative Finance or a related field.
Experience with derivatives and complex financial instruments valuation.
Experience with Bloomberg, MATLAB, Monte-Carlo Simulation tools such as Crystal Ball and @Risk, FinCAD, NumeriX, Savysoft TOPS, Principia and Summit.
PhD, CPA, CIA, CFA, CA, CCA, CMA, CAIA or FRM certifications a plus #indeedpush