
Global leader in business and financial data and analytics
Senior Quant ML Engineer Fixed Income Artificial Intelligence
Required skills
Machine Learning
Bloomberg’s Engineering Artificial Intelligence department has 400+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced Fixed Income domain, you’ll apply mathematics, statistics, machine learning and modern programming frameworks over vast data sources to accurately price millions of securities. You will research methods to offer transparency and accuracy within Fixed Income markets, and you will move Bloomberg’s business forward by assessing, improving, and implementing modern asset pricing models.
Salary Range = 165000 - 260000 USD Annually + Benefits + Bonus
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About Bloomberg

Bloomberg
PublicBloomberg L.P. is an American privately held financial, software, data, and media company headquartered in Midtown Manhattan, New York City. It was co-founded by Michael Bloomberg in 1981, with Thomas Secunda, Duncan MacMillan, Charles Zegar, and a 12% ownership investment by Merrill Lynch.
10,001+
Employees
Midtown Manhattan
Headquarters
Reviews
15 reviews
4.0
15 reviews
Work-life balance
4.2
Compensation
4.5
Culture
3.2
Career
3.0
Management
2.8
65%
Recommend to a friend
Pros
High compensation and competitive total compensation
Good work-life balance
Company stability and job security
Cons
Slow career progression and promotion speed
Management issues and micromanagement
Limited remote work flexibility
Salary Ranges
2,046 data points
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
L3
L4
L5
Junior/L3 · Data Reporter
2 reports
$73,178
total per year
Base
$81,557
Stock
-
Bonus
-
$73,178
$73,178
Interview experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 67%
Negative 33%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Virtual Onsite/Superday
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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