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Morgan Stanley
Morgan Stanley

Leading company in the financial services industry

Quantitative Developer: Investment Banking Strategist

직무머신러닝
경력미들급
위치Budapest, Hungary
근무오피스 출근
고용정규직
게시4개월 전
지원하기

필수 스킬

Machine Learning

Investment Banking DivisionMorgan Stanley’s Investment Banking Division (IBD) provides industry, regional and product expertise to corporations, institutions and government clients in order to advise our clients on strategic and financing matters. These solutions include initial public offerings; public and private equity and equity-linked financings; mergers, acquisitions and restructurings; defense advisory assignments; strategic partnerships; public and private debt placements; share repurchases; hedging, swaps and derivative transactions.About the RoleStrats are embedded within banking teams and provide quantitative analysis, data-driven insights, and customized tools to deliver bespoke solutions to stakeholders.The successful candidate would work alongside the IT team, other Strats, and senior management while being fully immersed with bankers to understand pain points and opportunities.We are looking for self-motivated individuals with combined technical/quantitative skills and business expertise to identify and develop productivity, revenue generation, and risk reduction solutions for IBD globally.This is a highly dynamic, fast-paced role with global impact across the Investment Banking Division.What You’ll DoPerform data-driven analysis to provide strategic insights into industry trends, deal opportunities and client strategies.Build and maintain software, tools and dashboards to streamline and enhance efficiency in client pitches, transaction execution, and reporting.Work closely with IBD Management and IBD Bankers globally on developing productivity, revenue generation, and risk reduction solutions.Analyze and interpret business requirements to proactively identify opportunities and improvement areas.Collaborate with industry, regional and product teams to provide bespoke and innovative quantitative analysis to utilize within client deliverables.Leverage software development, machine learning and/or AI tools to improve processes such as comparable company analysis, precedent transactions and financial projections.Own the full lifecycle of metrics development, including the process of data sourcing, data architecture design, implementation, and visualization.Communicate and manage strategic projects for senior bankers and leadership across regions, industry groups, and product teams. Serve as a liaison between business and IT to project manage and deliver innovative solutions for investment banking.Gain expertise in investment banking processes and financial products to inform decision-making related to the responsibilities listed above.What We’re Looking ForBachelor’s or advanced degree in quantitative field such as Mathematics, Computer Science/Engineering or Finance/Economics with software development experience.Proficiency in Python, competence with SQL/NoSQL databases.Interested in financial concepts, including valuation, capital structure and M&A.Excellent problem-solving skills, with the ability to work under tight deadlines and manage multiple priorities.Strong communication skills, with the ability to present complex ideas clearly to both technical and non-technical stakeholders.Be accurate, paying careful attention to detail and working thoughtfully and independently.Prior experience in investment banking, management consulting or a similar analytical role is a plus.# BPMMWHAT 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

Senior/L5

Staff/L6

Junior/L3 · Data Scientist L3

0개 리포트

$130,639

총 연봉

기본급

-

주식

-

보너스

-

$111,043

$150,235

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