Jun Zhai

Director of Engineering

United Kingdom11 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led transition to Product-Oriented Delivery work culture.
  • Secured five issued U.S. patents in quantitative finance.
  • Expert in developing scalable cloud-based financial solutions.
Stackforce AI infers this person is a Fintech expert specializing in quantitative risk management and cloud-based solutions.

Contact

Skills

Core Skills

Risk ManagementQuantitative AnalyticsCloud Computing

Other Skills

C++JavaPython (Programming Language)Fixed IncomeFX DerivativesFinancial ModelingComputer ScienceOptimizationsAlgorithmsAgile LeadershipGoogle Cloud Platform (GCP)AutomationObject-Oriented Programming (OOP)Quantitative FinanceStatistical Modeling

About

Welcome to my LinkedIn profile! I am an accomplished team lead and director with a strong expertise in quantitative research and development. Over the course of my 12+ years of experience, I have honed my skills in statistics, machine learning, risk modeling, and derivatives pricing, contributing to extensive publications and securing five issued U.S. patents. As a seasoned leader, I excel in managing and mentoring direct reports across diverse regions, fostering a global team that excels through seamless collaboration. By promoting open communication and embracing diverse perspectives, I have nurtured a high-performance team that consistently delivers outstanding results. At the heart of my work lies a strong proficiency in utilizing Cloud Platforms (GCP, AWS) to develop, deploy, and manage scalable and reliable cloud-based solutions. This ability has been instrumental in driving the success of industry-leading financial software solutions in production environments and accelerating innovation. My passion for innovation is evident through my development and implementation of cutting-edge algorithms and models that push boundaries. I leverage programming languages such as C/C++, Java, and Python to translate ideas into practical solutions that address real-world challenges. Beyond my technical expertise, I embrace a data-driven and collaborative approach, seeking opportunities to unite cross-functional teams and maximize their potential to achieve common objectives. My commitment to making a lasting impact through innovation and collaboration extends to pioneering new technologies, building high-performance teams, and driving individual career growth. I am dedicated to elevating businesses and teams to new heights of success.

Experience

11 yrs 9 mos
Total Experience
4 yrs 7 mos
Average Tenure
9 yrs 4 mos
Current Experience

Cme group

5 roles

Director, Quantitative Risk Development

Promoted

Feb 2023Present · 3 yrs 4 mos

  • ► Recognized as the 2024 Compliance Champion for successfully leading the transition to a Product-Oriented Delivery (POD) work culture. Demonstrated excellence in compliance and leadership, first as a key team member and later as a POD owner, ensuring seamless adoption and adherence to best practices.
  • ► Spearheaded product vision, backlog management, and prioritization as the Product Owner of the OTC, Cash, and Optimization Development POD, maximizing business value through close collaboration with stakeholders and development teams.
  • ► Expanded CME reference rate calculation in the C++ analytics library to include CME Term €STR, providing forward-looking €STR rates based on derivatives market activity and eurozone banks’ borrowing costs.
  • ► Drove development initiatives to strengthen the Treasury Cross-Margining arrangement and methodology between CME and FICC, enhancing capital efficiencies for clearing members.
  • ► Directed the risk model development endeavors to streamline the clearing of US Treasuries, ensuring seamless operations across the clearing ecosystem.
  • ► Orchestrated the transition of Interest Rate and Foreign Exchange products from SPAN to SPAN2 risk framework, enhancing risk management and operational efficiency.
  • ► Successfully migrated an on-premises Data Cleansing Tool to Google Cloud Platform, implementing an automation framework for resource provisioning and continuous integration/deployment processes. This enabled efficient data management and analysis, facilitating the generation, cleansing, and extension of historical risk data while accommodating various product specifications and relationships.
  • ► Managed development efforts to support MXN Overnight TIIE Funding Rate (F-TIIE) and PLN Warsaw Interest Rate Overnight (WIRON) swap clearing.
C++JavaPython (Programming Language)Fixed IncomeFX DerivativesRisk Management+8

Manager, Quantitative Risk Development

Promoted

Feb 2019Feb 2023 · 4 yrs

  • ► Collaborated with risk managers to implement the USD LIBOR fallback pricing and margining methodology for Eurodollar futures, Eurodollar options, and USD LIBOR cleared swaps.
  • ► Mentored quant developers to implement, evaluate and iterate on research ideas for risk models for various financial products, such as Eris swap futures, SOFR futures, SOFR options, and Treasury options, in support of new product clearing.
  • ► Delivered a software solution utilizing a high-performance differential evolution algorithm in C++, reducing clients' regulatory capital cost by millions of US dollars through optimized trade allocation between listed and portfolio margining accounts.
  • ► Contributed to CME Group being selected as the SOFR term rate administrator by implementing the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm in C++ to solve for the optimal path for the overnight SOFR rates.
  • ► Collaborated with developers to design, implement, test and maintain the new generation of risk management engine SPAN2 in C++, providing clients with enhanced real-time risk management services.
  • ► Led weekly cross-team meetings to maintain software libraries' high quality, scalability, and efficiency by providing expertise in high-level design and low-level implementation.
  • ► Accelerated the regression testing process for timely software release and financial products launches by collaborating with software engineers to implement an automation testing program in Java.

Senior Quantitative Risk Development Associate

Feb 2018Feb 2019 · 1 yr

  • ► Led a team of junior developers in planning and executing rapid prototyping of financial analytics libraries, providing functionalities for model exploratory analysis across various asset classes (Rates, Credit, FX) to inform experimentation and research directions.

Senior Quantitative Risk Management Associate

Feb 2017Feb 2018 · 1 yr

  • ► Conducted in-depth analysis of financial risk factors using statistical techniques including autoregressive-moving-average model, stochastic alpha-beta-rho model, principal component analysis, wavelet transformation, and T-Copula. Presented experimental results and actionable insights to senior management to aid in feature selection and model architecture enhancement.

Quantitative Risk Management Associate

Jan 2016Feb 2017 · 1 yr 1 mo

  • ► Led a cross-functional team of software developers and quantitative analysts in the development of a C++ analytics library for Repo and OTC FX clearing, ensuring timely delivery and adherence to project specifications.
  • ► Mentored 2 intern teams to develop and refine equity swap and treasury portfolio hedging models, facilitating successful product launches.
  • ► Conducted back-testing and statistical analysis to validate margin coverage and model assumptions, ensuring compliance with regulatory requirements.

University of chicago financial mathematics

Grader

Oct 2013Dec 2015 · 2 yrs 2 mos · Chicago, Illinois, United States · On-site

  • ► Worked collaboratively with instructors and fellow teaching assistants to facilitate a seamless learning experience for students enrolled in the following courses:
  • FINM 36700 (Autumn 13 and Winter 15) Portfolio Theory/Risk Management-1;
  • FINM 33150 (Winter 14) Regression Analysis and Quantitative Trading Strategies;
  • FINM 35000 (Spring 14 and Autumn 15) Topics in Economics;
  • FINM 36702 (Spring 14 and Winter 15) Portfolio Theory/Risk Management-2.

Axiom technology group

Quantitative Analyst (Consultant at CME Group)

Jul 2013Dec 2015 · 2 yrs 5 mos · Chicago, Illinois, United States · On-site

  • ► Co-invented and obtained four U.S. patents for a Monte Carlo model utilizing T-Copula, resulting in more accurate assessments of Value-at-Risk of Credit Default Swap portfolios, while earning innovation awards.
  • ► Reduced quantile sample variance by 50%-70% by leading a PhD intern researching variance reduction methods for Monte Carlo models, including common random numbers, stratification, and Sobol sequence.
  • ► Utilized a concurrency and distributed computing framework to increase the speedup of a large-scale Monte Carlo simulation program and complete all back-testing tasks required by regulators on time.
  • ► Collaborated with external financial modeling specialists to validate and justify the Monte Carlo framework, contributing to timely completion of the annual model validation report required by regulators.
  • ► Designed, implemented, tested, and maintained the Monte Carlo calculation system in a production environment, collaborating across functional groups to ensure accurate and timely completion of daily calculation jobs.

Education

University of Chicago

Master's Degree — Computer Science

Oct 2018Dec 2020

University of Chicago

Master's Degree — Financial Mathematics

Oct 2012Jun 2013

Tianjin University

Bachelor of Science (BS) — Mathematics and Applied Mathematics

Jan 2008Jan 2012

Nankai University

Bachelor of Economics — Finance

Jan 2010Jan 2012

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