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Morgan Stanley
Morgan Stanley

Leading company in the financial services industry

Python Software Engineer - GenAI Platforms

직무엔지니어링
경력미들급
위치Budapest, Hungary
근무오피스 출근
고용정규직
게시2개월 전
지원하기

복지 및 혜택

의료보험

401k

유연 근무제

교육비 지원

필수 스킬

Python

LLMs

RAG

API design

Data pipelining

Cloud platforms

  • We’re seeking someone to join our Analytics & Data tech team as a Python Software Engineer
  • GenAI Platforms in Wealth Management Technology.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Python Software Engineer position which is part of the job family responsible for developing and maintaining software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

  • Design and build distributed, scalable, and reliable AI platforms and use cases

  • Integrate with other platforms and data sources through designing and implementing APIs

  • Collaborate with other teams to design and develop data tools that support both operations and product use cases.

  • Prototype and showcase AI use cases

  • Be able to complete Po Cs and smaller engagements on their own

  • Perform analysis of data, logs, architecture requirements to support building of the platform and tools

  • Evaluate technologies, participate in PoC and prototyping solutions to improve our capabilities

  • Work with vector databases to build performant RAG solution

What you'll bring to the role:

  • At least 6 years’ relevant experience would generally be expected to find the skills required for this role

  • Hands-on programming Python (or Java with python at least) – ideally as backend/full stack engineer

  • Experience designing and implementing large, distributed platforms

  • Knowledge of various components of public and private cloud ecosystems and experience in applying them to practical problems

  • Experience in data manipulation, pipelining and MPP systems and concepts

  • Stable knowledge of base concepts and methods around LLMs (RAG, Prompting, etc)

  • At least personal hands-on experience with LLMs

  • Ability to drive ideas to end results by collaborating and involving the people needed to reach consensus

#BPTECH

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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Morgan Stanley 소개

Morgan Stanley

Morgan Stanley is an American multinational investment bank and financial services company headquartered at 1585 Broadway in Midtown Manhattan, New York City.

10,001+

직원 수

New York

본사 위치

$150B

기업 가치

리뷰

10개 리뷰

4.1

10개 리뷰

워라밸

2.8

보상

4.2

문화

3.7

커리어

4.1

경영진

2.9

75%

지인 추천률

장점

Great learning opportunities and experience

High salary and bonuses

Good team dynamics and supportive colleagues

단점

Long hours during peak times

High stress and overwhelming environment

Work-life balance issues

연봉 정보

6,221개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

49개 리포트

$109,250

총 연봉

기본급

$95,000

주식

-

보너스

-

$73,554

$143,750

면접 후기

후기 6개

난이도

3.2

/ 5

소요 기간

21-35주

면접 과정

1

Application Review

2

HR Screen/HireVue

3

Technical/Behavioral Interviews

4

Superday/Final Round

5

Onsite Interview

6

Offer Decision

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Investment/Finance Concepts

Case Study

Culture Fit