Cedar Cares, Inc
Lead Quantitative Analyst page is loaded Lead Quantitative Analyst Apply remote type Flex/Hybrid locations New York, NY Chicago, IL time type Full time posted on Posted Yesterday job requisition id R-3858 Job Description:
Building trusted markets —powered by our people. At Cboe, 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 development while 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 to opportunity, 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. Sound like the place for you? Join us! Location:
Chicago or NYC office (flex hybrid) Overview: We are seeking a
Lead Quantitative Analyst
with a strong
product development mindset
to analyze
global real-time option models , applied to underlying
equities and futures
with dependencies on
interest rate curves and FX.
This role focuses on
Research and Development, and Prototyping
in new variations of our
derivatives pricing models . The ideal candidate will have expertise in
quantitative finance, data analytics, and machine learning , with a track record of modeling the application of financial models to market data. Key Responsibilities: 1. Option Model Analysis & Research Analyze existing implementations of option pricing models and conduct empirical research into the efficacy over
options of different geographies and liquidity levels . Apply statistical methods including
classification models, regressions, and machine learning
to identify features of derivatives that are most suited for each type of model. Collaborate with engineering teams to ensure
effective and consistent quality in analytic pipelines . 2. Advanced Data Analytics & Machine Learning Apply
machine learning techniques
to detect patterns, anomalies, in applying
Model Fitted Theoretical
pricing to different categories of options. Utilize
statistical modeling, regression analysis, and classification methods
to improve calibration of
Model Fitting
methods . Implement
feature engineering
approaches to
improve the quality of production
applications of
real-time Model Fitting
that use approaches such
as SABR, Mixture Models, or SVI . 3. Data Distribution & Market Engagement Collaborate with
hedge funds, asset managers, and proprietary trading firms
to understand their
options analytics needs and commercial use cases . Assist sales and marketing teams in
positioning and selling analytic data services
to institutional clients. Required Qualifications & Skills: Education & Experience Master’s or PhD degree in
Quantitative Finance, Computer Science, Data Science, Statistics, Engineering, or a related field . 6 years of experience with a Master’s degree or 3 years with a PhD
in a
quantitative, data science, or research role
at a financial institution such as a bank, fund manager, market maker, or a risk analytics vendor. Technical & Analytical Skills Strong programming skills in
Python
(pandas, NumPy, scikit-learn) and
SQL . Experience with
R
is a plus. Experience with
Java . Strong Java skills are a plus. Experience with time-series analysis, and scalable computing. Familiarity with
machine learning techniques
(supervised/unsupervised learning, feature selection, anomaly detection) that can include regression and decision tree methods such as Random Forest. Finance & Trading Knowledge Knowledge of
quantitative finance models , and
risk modeling . Experience working with
historical datasets
for trading, backtesting, and risk management. Familiarity with
options and futures market structure , volatility analysis, and pricing models. Product Development & Commercialization Strong ability to
translate quantitative findings into actionable production engineering results
in collaboration with the Cboe Development Teams. Strong ability to work with sales, marketing, and business development teams Preferred Qualifications: Ability to apply
machine learning in finance , with use cases that could include Benefits and Perks 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 given at any organization . Still, you should know we offer: Fair and c ompetitive salary and incentive compensation packages with an upside for overachievement
Generous paid time off, including vacation , personal days , sick days and annual community service days
Flexible, hybrid work environment
Health, dental and vision benefits , including access to telemedicine and mental health services
2:1 401(k) match , up to 8 % match immediately upon hire
Discounted Employee Stock Purchase Plan
Tax Savings Accounts for health, dependent and transportation
Employee referral bonus program
Volunteer opportunities to help you give back to your communities
Some of o ur associates’ favorite benefits and perks include: Complimentary lunch, snacks and coffee in any Cboe office
Paid Tuition assistance and education opportunities
Generous c haritable giving company match
Paid parental leave and fertility benefits
O n-site gym s and discounts to other fitness centers
More About Cboe We’re reimagining the future of the workplace by focusing on what matters most, our people . Our journey is an inclusive one. We’re investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We celebrate the diversity in our communities, inside and out, and welcome new perspectives with equity, inclusion and belonging. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We’re an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on
our website
and
LinkedIn
. Equal Employment Opportunity We're proud to be an equal opportunity employer - and celebrate our associates' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status #LI-JS1 #LI-HYBRID Our pay ranges are determined by a number of factors, including, but not limited to, role, experience, level, and location. The national new hire base pay range for this job in the United States is $134,300-$165,900. This range represents the minimum and maximum base pay the company expects to offer for new hires working in the position full time. If you live in one of the following areas or if you work in a Cboe office in the following areas, the range may be higher according to the geographic differentials listed below:
US Geographic Differentials: 110%: Austin TX, Chicago IL, Denver CO, San Diego CA
115%: Los Angeles CA, Seattle WA
120%: Boston MA, Washington DC
125%: New York City NY
130%: San Francisco CA
Within the range, individual pay is determined by a number of factors, including, but not limited to, work location , job-related skills, experience, and relevant education or training. In addition to base pay, our total rewards program includes an annual variable pay program and benefits including healthcare (medical, dental and vision) , 401 (k) with a generous company match, life and disability insurance, paid time off, market-leading tuition assistance , and much more ! Your recruiter will provide more details about the total compensation package, including variable pay and benefits, during the hiring process. For further information on our total rewards program , visit
TOTAL REWARDS @CBOE. Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes. Similar Jobs (1)
Quant Analyst remote type Flex/Hybrid locations Chicago, IL time type Full time posted on Posted 30+ Days Ago If you have been contacted about a job opening at Cboe
by someone that does not have a @cboe.com email, this is
NOT
a trusted source. Cboe only utilizes emails from @cboe.com or Linkedin messaging for recruitment purposes. Cboe does not use any other third-party messaging applications. We recommend that you refrain from responding to Cboe recruitment emails that are not from a cboe.com email address and to file a complaint with the Internet Crime Complaint Center IC3 at
https://www.ic3.gov/
. If you have further questions, please reach out to the Cboe HR team at cboehr@cboe.com
#J-18808-Ljbffr
Building trusted markets —powered by our people. At Cboe, 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 development while 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 to opportunity, 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. Sound like the place for you? Join us! Location:
Chicago or NYC office (flex hybrid) Overview: We are seeking a
Lead Quantitative Analyst
with a strong
product development mindset
to analyze
global real-time option models , applied to underlying
equities and futures
with dependencies on
interest rate curves and FX.
This role focuses on
Research and Development, and Prototyping
in new variations of our
derivatives pricing models . The ideal candidate will have expertise in
quantitative finance, data analytics, and machine learning , with a track record of modeling the application of financial models to market data. Key Responsibilities: 1. Option Model Analysis & Research Analyze existing implementations of option pricing models and conduct empirical research into the efficacy over
options of different geographies and liquidity levels . Apply statistical methods including
classification models, regressions, and machine learning
to identify features of derivatives that are most suited for each type of model. Collaborate with engineering teams to ensure
effective and consistent quality in analytic pipelines . 2. Advanced Data Analytics & Machine Learning Apply
machine learning techniques
to detect patterns, anomalies, in applying
Model Fitted Theoretical
pricing to different categories of options. Utilize
statistical modeling, regression analysis, and classification methods
to improve calibration of
Model Fitting
methods . Implement
feature engineering
approaches to
improve the quality of production
applications of
real-time Model Fitting
that use approaches such
as SABR, Mixture Models, or SVI . 3. Data Distribution & Market Engagement Collaborate with
hedge funds, asset managers, and proprietary trading firms
to understand their
options analytics needs and commercial use cases . Assist sales and marketing teams in
positioning and selling analytic data services
to institutional clients. Required Qualifications & Skills: Education & Experience Master’s or PhD degree in
Quantitative Finance, Computer Science, Data Science, Statistics, Engineering, or a related field . 6 years of experience with a Master’s degree or 3 years with a PhD
in a
quantitative, data science, or research role
at a financial institution such as a bank, fund manager, market maker, or a risk analytics vendor. Technical & Analytical Skills Strong programming skills in
Python
(pandas, NumPy, scikit-learn) and
SQL . Experience with
R
is a plus. Experience with
Java . Strong Java skills are a plus. Experience with time-series analysis, and scalable computing. Familiarity with
machine learning techniques
(supervised/unsupervised learning, feature selection, anomaly detection) that can include regression and decision tree methods such as Random Forest. Finance & Trading Knowledge Knowledge of
quantitative finance models , and
risk modeling . Experience working with
historical datasets
for trading, backtesting, and risk management. Familiarity with
options and futures market structure , volatility analysis, and pricing models. Product Development & Commercialization Strong ability to
translate quantitative findings into actionable production engineering results
in collaboration with the Cboe Development Teams. Strong ability to work with sales, marketing, and business development teams Preferred Qualifications: Ability to apply
machine learning in finance , with use cases that could include Benefits and Perks 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 given at any organization . Still, you should know we offer: Fair and c ompetitive salary and incentive compensation packages with an upside for overachievement
Generous paid time off, including vacation , personal days , sick days and annual community service days
Flexible, hybrid work environment
Health, dental and vision benefits , including access to telemedicine and mental health services
2:1 401(k) match , up to 8 % match immediately upon hire
Discounted Employee Stock Purchase Plan
Tax Savings Accounts for health, dependent and transportation
Employee referral bonus program
Volunteer opportunities to help you give back to your communities
Some of o ur associates’ favorite benefits and perks include: Complimentary lunch, snacks and coffee in any Cboe office
Paid Tuition assistance and education opportunities
Generous c haritable giving company match
Paid parental leave and fertility benefits
O n-site gym s and discounts to other fitness centers
More About Cboe We’re reimagining the future of the workplace by focusing on what matters most, our people . Our journey is an inclusive one. We’re investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We celebrate the diversity in our communities, inside and out, and welcome new perspectives with equity, inclusion and belonging. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We’re an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on
our website
and
. Equal Employment Opportunity We're proud to be an equal opportunity employer - and celebrate our associates' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status #LI-JS1 #LI-HYBRID Our pay ranges are determined by a number of factors, including, but not limited to, role, experience, level, and location. The national new hire base pay range for this job in the United States is $134,300-$165,900. This range represents the minimum and maximum base pay the company expects to offer for new hires working in the position full time. If you live in one of the following areas or if you work in a Cboe office in the following areas, the range may be higher according to the geographic differentials listed below:
US Geographic Differentials: 110%: Austin TX, Chicago IL, Denver CO, San Diego CA
115%: Los Angeles CA, Seattle WA
120%: Boston MA, Washington DC
125%: New York City NY
130%: San Francisco CA
Within the range, individual pay is determined by a number of factors, including, but not limited to, work location , job-related skills, experience, and relevant education or training. In addition to base pay, our total rewards program includes an annual variable pay program and benefits including healthcare (medical, dental and vision) , 401 (k) with a generous company match, life and disability insurance, paid time off, market-leading tuition assistance , and much more ! Your recruiter will provide more details about the total compensation package, including variable pay and benefits, during the hiring process. For further information on our total rewards program , visit
TOTAL REWARDS @CBOE. Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes. Similar Jobs (1)
Quant Analyst remote type Flex/Hybrid locations Chicago, IL time type Full time posted on Posted 30+ Days Ago If you have been contacted about a job opening at Cboe
by someone that does not have a @cboe.com email, this is
NOT
a trusted source. Cboe only utilizes emails from @cboe.com or Linkedin messaging for recruitment purposes. Cboe does not use any other third-party messaging applications. We recommend that you refrain from responding to Cboe recruitment emails that are not from a cboe.com email address and to file a complaint with the Internet Crime Complaint Center IC3 at
https://www.ic3.gov/
. If you have further questions, please reach out to the Cboe HR team at cboehr@cboe.com
#J-18808-Ljbffr