We’re looking for a sharp analytical thinker who’s adept at financial modeling, 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.

QUALIFICATIONS:

• 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 and financial instrument modeling and pricing, trading, deal structuring or risk management
• 6+ years of relevant work experience in the financial services industry, specifically in areas such as data science, AI, and/or model development, validation, governance, financial instrument pricing, risk management, or data analysis
• Understanding of financial instrument modeling and risk management
• Additional consideration given to candidates with experience in the areas of market risk, counterparty credit risk, liquidity risk, interest rate risk, pricing / independent price verification, wholesale and retail credit modeling, and AI.
• Strong analytical and computer skills including experience with quantitative analysis technical tools and techniques.
• Ability to explain difficult financial modeling concepts to diverse audiences and to experts at various clients.
• Provide recommendations for improved and enhanced modeling techniques 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 based on the work you do and the clients you serve

PREFERRED SKILLS:

• Related consulting experience.
• Master’s degree in Mathematical Finance, Mathematics of Finance, Financial Engineering or Quantitative Finance or a related technical field.
• PhD, CFA, FRM, CQF, CPA certifications a plus
  Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
  For individuals assigned and/or hired to work in California, New York State, Washington D.C., and Jersey City, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California, New York State, Washington D.C., and Jersey City and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $252,450.
  You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
  

  LI-OK

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.