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채용

채용Bloomberg

Senior Software Engineer BQuant

Bloomberg

Senior Software Engineer BQuant

Bloomberg

·

On-site

·

Full-time

·

1mo ago

필수 스킬

Python

AWS

Kubernetes

Azure

Machine Learning

BQuant is Bloomberg’s cutting-edge financial research and data science platform. With the tremendous growth of market data and the increasing sophistication of machine learning and quantitative methods, finance is quickly becoming a domain where only the best-capitalized firms can compete. BQuant’s mission is to change that by empowering researchers and investment decision-makers worldwide with sophisticated tools currently only available to the largest investment firms.

BQuant comprises three main components:

  1. Datasets: BQuant provides a comprehensive range of datasets for analysis, ensuring that users have access to the most relevant and up-to-date information.
  2. Analytical Tools: BQuant’s suite of tools enables clients to explore and analyze their data effectively. Users can leverage these tools to create and share their research through intuitive dashboards and apps. The BQuant platform is built on open source tools like Python and Jupyter notebooks and is fully integrated with the Bloomberg Terminal®.
  3. Cloud Infrastructure: The BQuant platform offers robust cloud infrastructure, ensuring reliability, scalability, and security for all users.

By integrating these components, BQuant offers a holistic solution that democratizes access to advanced financial analysis, enabling teams of all sizes to compete on a level playing field.

You'll need to have:

  • 4+ years of software development experience
  • Significant experience working in a cloud native environment, using a modern technology stack
  • Proficiency in one or more programming languages such as Golang or Python
  • A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience

See what people are saying about BQuant:

  • Bloomberg founder, Mike Bloomberg: https://tinyurl.com/mike-bquant
  • Bloomberg CTO, Shawn Edwards: https://tinyurl.com/shawn-bquant
  • Bloomberg tech blog: https://tinyurl.com/bquant-platform

Some of our recent contributions to the open source community:

  • BlazingMQ: https://www.bloomberg.com/company/stories/bloomberg-publishes-blazingmq-modern-high-performance-message-queuing-system/
  • PyStack: https://www.bloomberg.com/company/stories/bloomberg-publishes-pystack-debugging-tool-python/

Some recent / upcoming projects:

  • Secure, credential-less authentication of user workloads using SPIFFE
  • Building private cross-cloud networking between AWS, Azure and Bloomberg’s networks
  • Building automation to orchestrate deployment/update to 100s of Kubernetes clusters
  • Building out the backend for a new self-service dashboarding solution for our clients

Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Bloomberg 소개

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+

직원 수

Midtown Manhattan

본사 위치

리뷰

4.0

15개 리뷰

워라밸

4.2

보상

4.5

문화

3.2

커리어

3.0

경영진

2.8

65%

친구에게 추천

장점

High compensation and competitive total compensation

Good work-life balance

Company stability and job security

단점

Slow career progression and promotion speed

Management issues and micromanagement

Limited remote work flexibility

연봉 정보

2,043개 데이터

L2

L3

L4

L5

L6

Senior/L5

L2 · Cybersecurity Analyst L2

0개 리포트

$141,700

총 연봉

기본급

$56,680

주식

$70,850

보너스

$14,170

$99,190

$184,210

면접 경험

3개 면접

난이도

3.7

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 33%

부정 67%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Virtual Onsite/Superday

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience