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JobsMorgan Stanley

FXEM Business Analytics Strategist

Morgan Stanley

FXEM Business Analytics Strategist

Morgan Stanley

Budapest, Budapest, Hungary

·

On-site

·

Full-time

·

3mo ago

Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services.

At Morgan Stanley Budapest, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas, including Technology, Mathematical Modeling, Finance, Risk Management, Operations and Data & Analytics from our new state-of-the-art offices near the Danube.

Our Foreign Exchange & Emerging Markets (“FXEM”) team is seeking to hire an Associate based in Budapest.

Business Analytics Strategists have a deep understanding of the Fixed Income business and use their technology and data skills to deliver data insights and key business metrics. Working closely with Business Management and COOs, they help set and track strategy by collecting data from various parts of the organization and build attribution models and metrics. They also build tools to capture date and distribute metrics across the organization.

The FXEM Business Analytics Strategist will work closely with the Global FXEM Chief Operating Officer Team to diagnose bottlenecks through the entire product lifecycle, identify opportunities for scaling up, and optimize the way the Firm allocates and deploys its resources to serve our clients more efficiently.

You will:

  • Work with large and complex datasets in KDB and Python to derive impactful and fresh insights and analyses for business decision-making.

  • You will communicate with Sales, Traders, Technologists, Strategists and Risk Managers from all divisions of the Firm to find holistic solutions to deliver the best of Morgan Stanley to our clients.

  • Assist in driving business planning, business strategy and executing on key priorities.

  • Create meaningful analysis to aid strategic decisions.

  • Assist in presentations for senior management on pipeline, performance metrics and key initiatives.

  • Assist development of web-based management reporting tool.

  • Review capital and returns for transactions.

  • Have a keen interest in the strategy and operations of the Fixed Income business which encompasses a large range of responsibilities.

You have:

  • Degree in a quantitative area or technology such as Mathematics, Physics, Computer Science, etc.

  • Solid problem solving & math foundations and an interest in the financial industry

  • Good programming skills in Python or in some other programming language

  • Interest in Data Analytics and Data Science

  • High resilience to work at the forefront of business decision-making

  • Advanced communication skills in English

#LI-NB1 #LI-hybrid #BPMM

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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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About Morgan Stanley

Morgan Stanley

A financial services company that offers securities, asset management, and credit services.

10,001+

Employees

New York

Headquarters

Reviews

3.5

4 reviews

Work Life Balance

3.0

Compensation

2.5

Culture

3.2

Career

3.0

Management

3.0

35%

Recommend to a Friend

Pros

Skills evaluation through business plans and projects

Direct access to senior leadership interviews

Conversational interview format

Cons

Automated resume screening system issues

Focus on formatting over qualifications

Compensation concerns and salary expectations

Salary Ranges

11,766 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

1,682 reports

$114,371

total / year

Base

$96,366

Stock

-

Bonus

$18,005

$77,808

$170,800

Interview Experience

6 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Experience

Positive 16%

Neutral 84%

Negative 0%

Interview Process

1

Initial screening (HR/HireVue)

2

Technical rounds

3

Manager/Senior leadership interviews

4

Final round/Superday

Common Questions

Technical knowledge assessment

Behavioral questions

Role-specific scenarios

Leadership and teamwork examples