Client Strategist – Financial Engineer
Budapest Millennium Tower III, Hungary
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Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.Our FID Client Strategist Team builds models, metrics and their visualizations to analyse client flow across desks. We provide our users insights of client behaviours and target future trades, also monitor real time risks.
We are looking for Financial Engineers who use their combined technical and quantitative skills and business expertise to provide data-oriented solutions to our global Fixed Income Business. They would
- oversee the complete lifecycle of technical development: analysis, design, implementation and testing
- architect systems and data flows, build out data pipelines and implement complex analytics while ensuring the highest standard of data integrity
- manage the process of implementing back-end calculations and front-end visualization features in our cutting-edge data visualization and reporting frameworks
- partner with COOs, Strategists and Controllers across the Division in analysing their workflows and building tools that increase their productivity
We offer:
- A unique opportunity to participate in the data-based transformation of Morgan Stanley’s Fixed Income Business.
- A job that provides you with connectivity to people across the world at all levels of the firm. You will be directly working with Fixed Income sales and traders in New York and financial centers all over the world.
You have:
- Bachelor’s degree in engineering, computer science, mathematics, a related quantitative field, or equivalent practical experience.
- Relevant professional experience
- Programming experience with one or more general purpose programming languages including but not limited to: Python, C++, Java, JavaScript.
- Analytical thinking, problem solving and statistical skills
- Ability to work effectively with colleagues widely dispersed geographically.
- Sensitivity to details, accuracy in everyday work
- Ability to work independently
You might also have, but are not expected to have:
- 2 years HTML5/JS UI development skills, including ReactJS
- Experience with q/KDB
- Experience with working in a small development team
- Development background, implementation experience with new technologies (Big Data, Cloud, ML)
- Experience with Python
#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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data pipelines Data visualization Engineering Java JavaScript Machine Learning Mathematics Pipelines Python Statistics Testing
Perks/benefits: Career development Flex hours
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