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Bloomberg
Bloomberg

Global leader in business and financial data and analytics

Senior Quant ML Engineer Fixed Income Artificial Intelligence

RoleMachine Learning
LevelSenior
WorkOn-site
TypeFull-time
Posted2 months ago
Apply now

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

Bloomberg

Public

Bloomberg 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