Data Science Manager – Derivatives Products

Description

Data Science Manager – Derivatives Products

Building trusted markets —powered by our people.

Company Overview

At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world.

We’re building inclusive ways to support professional and personal developmentwhile strengthening the trust we’ve earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access toopportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. Our Associate Resource Groups champion diversity, equity and inclusion, giving associates a safe space to network, share ideas and create opportunities.

The Cboe Data Vantage group seeks a Data Science Manager to join our team. Data Vantage provides derivatives valuation, risk analytics, and margin services that enable institutional clients to manage derivatives risk and enhanceand support investment strategies.

This role will focus on our global real-time option model fitting processes that apply models including binomial, SABR, and MJD and use machine learning for real-time calibration. This is an opportunity to advance one’s knowledge of the derivatives markets, gain hands on exposure to a uniquely vast amount of analytic data, and towork within a team with deep experience in financial markets and computer sciencewho are committed to improving information in the financial markets.

Location : NYC or Chicago (flex hybrid)

Responsibilities

Apply statistics including use of predictive analytic methods to assess the integrity, stability, and reliability of the model results over time.

Propose and develop new metrics and data views that can help us maintain and improve the fitness of our derivatives risk analytics and supporting data processes.

Collaborate with Development teams to help create Quality Engineering tooling and frameworks. This includes providing R&D results along with specifications and prototypes.

Qualifications

The candidate will have a strong understanding of statistical concepts and data science methods.

Mastersdegree required in a quantitative discipline such as Statistics, Operations Research, Engineering, Physics, Math, or Computer Science.

Academic and / or industry experience with statistical modeling and predictive analytics

5 years of experience, ideally in financial industry with exposure to financial products (e.g. equities and options, fixed income) and could include experience with option pricing models such as Black Scholes, or rates curve bootstrapping and models such as Nelson Siegel.

Strong proficiency in programming / scripting languages such as Python or R, and SQL is a requirement. Ability to write code and analyze large data sets.Familiarity with Java is a plus.

Experience with optimization approaches is a plus.

Communication skills to work effectively with both technical and business side team participants.

Benefits and Perks of working for Cboe Global Markets

We value the total wellbeing of our people – including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer :

Medical Coverage

Prescription Drug Coverage

Additional Medical Benefit

Dental Coverage

Vision Coverage

Spending Accounts

Life and AD&D Insurance

Retirement Savings Plan

Employee Stock Purchase Plan (ESPP)

Voluntary & Additional Benefits

Paid Time Off