Quantitative Strategies
Morgan Stanley is hiring a Quantitative Strategies. Level rates it ; you can apply on Morgan Stanley.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Python, C and SQL among its tools and skills.
- Level classes it as a mid-level role.
- Morgan Stanley has 1,100+ other open roles on Level.
AI in this role
Quantitative Strategies role developing financial models, trading tools, automated trading systems, and data analytics for fixed income.
Morgan Stanley Fixed Income Strats have opportunities available for Financial Engineers and Quantitative Model Developers. We are looking for a self-motivated individual with outstanding technical skills who want to leverage their talent in solving business problems in a complex, diverse and global environment.
We offer:
Opportunities to learn about financial models, products and technology.
An inclusive work environment with colleagues situated around the globe (mostly in New York and London) to develop new ideas
Role profiles:
The below five profiles describe the different categories of roles available within Strats. In many cases an individual role will encompass aspects of each.
Quant Developers Strategists use advanced technological and, in some cases, quantitative skills to productionize models, manage and maintain code libraries and rapidly develop innovative trader tools. They work closely with IT, other Strat functions and business lines to integrate new technologies to enhance pricing and risk calculations.
Desk Trading Strategists use their market and product knowledge, quantitative and technology skills to price trades and optimize trading strategies. They work closely with traders and sales to build models, tools and generate trade ideas to identify, enable and execute on growth opportunities.
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 org and build attribution models and metrics. They also build tools to capture date and distribute metrics across the org.
Regulatory Modeling Strategists apply quantitative skills to verify, stress-test, and document models, diagnose unexpected results, and maintain the frameworks required to produce complex risk metrics and reports. They work closely with Model Risk Management, Valuation Control, Risk Analytics, Internal Audit and Regulatory Relationship teams to ensure the Firm meets the highest regulatory standards.
Trading Automation Strategists are financial and software engineers who design, implement, back-test, deploy and measure sophisticated automated trading components and systematic trading strategies. Working closely with other Strategists and trading desks, they rapidly provide new solutions and bring efficiencies and quantitative edge to existing business processes within a dynamic market-driven environment.
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 object-oriented programming language
Advanced communication skills in English.
About us:
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 and our City Gate office in the heart of the city center.
#LI-NB1 #LI-hybrid
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 opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
How we rate this
Quantitative Strategies at Morgan Stanley rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
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- What's a project where you used Python hands-on?
- Walk me through how you've used C in your day-to-day work.
- What are the limits of SQL that you've run into, and how did you work around them?
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- List these exact terms on your resume: Python, C, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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