Sumit Sinha, PhD

CEO

Chicago, Illinois, United States13 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led risk management initiatives saving clients over $5B daily.
  • Developed innovative solutions for transitioning financial products.
  • Expert in quantitative risk analysis and model validation.
Stackforce AI infers this person is a Fintech expert specializing in quantitative risk management and data analysis.

Contact

Skills

Core Skills

Risk ManagementQuantitative ResearchData Science

Other Skills

Analytical SkillsData AnalysisFinanceForecastingMachine LearningMathematicsResearch

Experience

Cme group

3 roles

Senior Director

Promoted

Jan 2022Present · 4 yrs 2 mos

  • Lead the risk framework design and development for treasury securities clearing. This involved partnership within the Clearing House with various team and working with SEC for the approval.
  • Lead different aspects of CME-FICC XM program within the Clearing House in partnership with various team. The program has seen the evolution with initial step for program update for HOUS accounts and then enhancement of program to CUST accounts. Lead the effort on developing risk based optimizer utility ease and optimal transfers. This involved partnership within CME Clearing, but also across CME and FICC.
  • Lead the different aspects of MXN 28D TIIE transition, working closing with industry and Banxico.
  • Lead the different aspects of IBOR fallback project within the Clearing House. Partnered with CME’s clients in developing a robust approach for transitioning the discounting of USD Swaps from EFFR to SOFR curve. Leading the team in analyzing on potential risk exposure and designing innovative risk solutions for cleared derivative products driven by the potential cessation of LIBOR Rate. In addition to swaps, lead the effort form risk side to design solution for futures and options transition to RFR yielding full Eurodollar franchise move over to SOFR.
  • Partner with IT team in integrating the quant risk library into the production systems. Ensure the framework is scalable to evolving needs as well as future product/model changes
  • Responsible for presenting and seeking approvals related to product launches as well as model performance and enhancements from internal/external committees as well as regulators. Lead the execution of regulatory deliverables related to risk management aspects
  • Partner with the business team in developing and designing innovative solution to help meet the client risk management needs
  • Assist in developing and enforcing the risk model and policies as set forth by regulators and Sr Management
Risk ManagementQuantitative ResearchAnalytical SkillsFinance

Director - Quantitative Risk

Promoted

Apr 2019Dec 2021 · 2 yrs 8 mos

  • Researching and developing quantitative approaches related to pricing, value at risk (VaR), liquidity risk, stress testing, risk analytics for financial products including OTC Interest Rate Swaps (IRS), OTC Swaption, Listed Interest Rate Futures, Listed Interest Rate Options on Futures, OTC FX Forwards and OTC FX Options
  • Leading the team of risk managers in assessing the rational for the model and ensuring the model is in line with current market practice by identifying and assessing model assumptions and limitations, supporting evidence for model choices and performing sensitivity analysis of the model to changing environment. Assessing model accuracy and performance by validating the performance against alternate model choices and model parameters by leveraging different metric including back-testing, stress testing, in sample and out of sample analysis and other statistical and empirical techniques
  • Leading, executing and delivering valuation and risk management engagements by participating in all aspects of projects, from initial proposal preparation through project launch. Involved in aspects related to product scope, product design, pricing, settlements, operational workflow, risk methodologies, risk analytics, default management, client education, regulatory approval, designing and developing production risk library, deployment to production systems and rigorous testing of the model and system
  • Developed an efficient optimization algorithm to help deliver unparalleled capital efficiency to all market participants by leveraging CME’s unique position of clearing OTC products and Listed Futures and Options (F&O) products. The utility suggests optimal number of F&O position to be cross margined with OTC products and is currently saving 5B+ of margin savings for CME’s client on daily basis
  • Developed an automated data cleaning tool for interest rate term structure
Quantitative ResearchRisk ManagementAnalytical SkillsFinance

Manager

Apr 2016Jun 2019 · 3 yrs 2 mos

  • Worked on improvement of Risk model to accommodate cleared Option on interest rate product
  • − pricing of American Style option using SABR pricing methodology with premium as an addon
  • − risk model for listed options
  • Enhanced the Risk model to accommodate clearing of new IRS swaps
  • Leading the team to validate and analyze the production system that computes initial margin for IRS
  • Working with third party vendors in ensuring the models are up to date with current market practice and seek model approval as per the guidance set forward by regulators
  • Provide effective management, leadership and mentoring to team members and ensure that the team is well collaborated, engaged and cohesive
  • Worked on an Implementation of SIMM model for Uncleared Margin
  • Worked on SA-CCR, FRTB and other Capital Requirement models to improve product development for Clearing
  • Lead the team in daily monitoring of market risk as well as potential exposure to the clearing house arising from changing market conditions as well as geo-political factors. Responsible for developing and streamlining risk reports that are presented to Sr. Management team
Risk ManagementQuantitative ResearchAnalytical Skills

Sears holding corporation

Data Scientist

Mar 2014Mar 2016 · 2 yrs · Chicago, Illinois, United States

  • Developed and implemented time-series model for revenue and leads forecasting
  • Developed Logistic Regression Model and Random Forest Model for predicting service order attrition (Cancellation/ Declined Service) for Home Services
  • Responsible for all analytical model requirements for Sears Home Services
  • Created forecasting models for Parts volume by Geography which was used to replace an outside solution
  • Optimization of technician profile in geography to maximize profit and volume of service calls using Gurobi/Open Solver
  • Managed projects outsourced to external vendors and identified opportunities for providing analytical support to various business partners
  • Carried out maintenance of all the analytical models in Sears Home Services' Analytic team
Data ScienceAnalytical SkillsForecasting

General welfare group/ cooperfund

Quantitative Researcher

Mar 2012Mar 2014 · 2 yrs · Chicago, Illinois, United States

  • Conducted research on time series forecasting based on VAR (Vector Auto Regression) which was used in trading
  • Designed and implemented nonlinear time series forecasting models in Matlab using Supporting Vector Machines, Ada-boost Decision Trees (Ensemble Learning), and various other machine learning techniques; conducted risk analysis and performance analysis of those models in Matlab
  • Performed correlation analysis, k-meanings clustering, principal component analysis (PCA), etc., to pre-process multidimensional time series data for their use in model development
  • Responsible for data, code and performance verification of all the models
  • Implemented data mining algorithms based on Formal Concept Analysis (FCA) used to search patterns in financial data to verify market structure to minimize false trade signals and improve trade efficiency
  • Successfully initialized, designed, and delivered several directional forecasting strategies and trading rules for the US equities market. These were used in trading in equity indexes.
Quantitative ResearchData AnalysisMachine Learning

Bloomberg lp

Quantitative Research Intern

Sep 2011Dec 2011 · 3 mos · New York, United States

  • Developed an extension of Milstein-type approximation for stochastic volatility model and implemented it using MATLAB
  • Worked on linking Functional Ito Calculus with Malliavin Calculus
  • Worked on constrained hedging problem and interpolation of payoffs using radial basis function
Quantitative ResearchMathematics

Education

Michigan State University

Doctor of Philosophy - PhD — Statistics

Aug 2006Dec 2011

Cybersecurity

M. Math — Mathematics

Cybersecurity

B. Math — Mathematics

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