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Quantitative Analyst Jobs in Montgomery, AL (9)

Sr Data Scientist

The Hertz
Montgomery, AL
Dental Insurance
Parental Leave
Icon: salary
$105k / year

Competitive Intelligence Analyst

Teradata
Montgomery, AL
New

Senior Data Scientist

Nelnet
Montgomery, AL
New
401(k)
Dental Insurance
Vision Insurance
Education
Icon: salary
$63k / year

IT Project Manager - Public Sector

Public Consulting Group
Montgomery, AL
401(k)
PTO
Health Insurance
Dental Insurance
Parental Leave
Icon: salary
$88k - $135k / year

Data Management & Strategy - Oil & Gas - Manager - Consulting - Location OPEN

EY
Montgomery, AL
Dental Insurance
Icon: salary
$125.5k - $230.2k / year

Remote Quantitative Analyst (Finance)

Turing
🌎 Remote
New
Part-Time
Remote
Hourly
Icon: salary
$100 / hour
‌

Data Product Manager

UMB Bank
Montgomery, AL
Dental Insurance
Vision Insurance
Education
Icon: salary
$100.7k - $157.6k / year
‌

Remote Quantitative Analyst & AI Evaluator

DataAnnotation
🌎 Remote
Remote
Hourly
‌

Senior Actuarial Analyst - REMOTE

Prime Therapeutics
🌎 Remote
New
Remote
Icon: salary
$94k - $160k / year
‌

Senior Analyst Banking and Capital Markets

Ernst & Young Oman
Montgomery, AL
Diversity Leader
Dental Insurance
Icon: salary
$126.8k - $244k / year
‌

Quantitative Analyst

AmeriSave Mortgage Corp
🌎 Remote
Remote
Health Insurance
Dental Insurance
Vision Insurance
Icon: salary
$80k - $150k / year
‌

Quantitative Analyst (Remote)

Rainbook
🌎 Remote
Remote

Quantitative Analyst Salary in Montgomery

Quantitative Analysts working in Montgomery, AL make an average annual salary of $115K and a maximum annual salary of around $187K.

Disclaimer

Job Description

Working as a Quantitative Analyst in Montgomery, AL

There are 9 Quantitative Analyst opportunities available in Montgomery, AL all with unique requirements.

The role of a Quantitative Analyst can best be summed up as the art and science of gathering and interpreting data to drive decision making. They engage in many different activities from building predictive models to derive insights by mining large datasets. He or she may work with various data sets such as modeling, retail credit card data, net promoter scores (NPS), and survey results. They will also regularly speak about their findings and present them in their reports to stakeholders.

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