Corporate Treasury Desk Strategist, Associate, Quantitative Strategists
Morgan Stanley is hiring a Corporate Treasury Desk Strategist, Associate, Quantitative Strategists in Mumbai, India. Level rates it ; you can apply on Morgan Stanley.
Level's read on this job
- On Level's scale, this finance role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Scala, C and Kdb Q.
- Level classifies it as a mid-level role.
- Level lists 1,200+ other open roles at Morgan Stanley.
AI in this role
Develop liquidity, risk, and P&L models and support corporate treasury deliverables within the quantitative strategists team.
Title: Corporate Treasury Desk Strategist - Associate
We're seeking someone to join our Quantitative Strategists team as an Associate in Treasury to support the Firm's regulatory and internal deliverables.
In the Finance division, we act as a partner to business units around the globe by providing management, review, analysis and advisory services of the Firm's financial and capital resources.
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:
- Collaborate with a varied group of colleagues in Finance and across the Firm
- Responsible for both individual and team deliverables and projects, leveraging knowledge of Finance functional area, tools and/or products
- Adhere to the Firm's risk and regulatory standards, policies and controls
- Act as a culture carrier; embody the Firm's values and hold yourself accountable to Firm standards
- Developing and supporting P&L, Risk, Net Interest Income (NII), Liquidity models, hedge accounting, funds transfer pricing and Monitoring tools
- Working closely with the Business, IT, and model control
What you'll bring to the role:
- Working knowledge of Finance functional area, industry and competitive environment
- Ability to communicate clearly and concisely, and adapt to various audiences
- Willingness to seek guidance and provide feedback to further develop self and peers
- PhD/Master's degree in Statistics, Finance, Mathematics or Physics
- Strong programming skills. At a minimum, this position requires programming in scala, KDB/Q, or C++.
- Strong communication and collaboration skills are necessary
- At least 2 years' relevant experience would generally be expected to find the skills required for this role
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.
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
Corporate Treasury Desk Strategist, Associate, Quantitative Strategists at Morgan Stanley rates 0 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.
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Skills and AI tools this role asks for
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Pay
- Typical finance job
- $105k
This posting doesn't list pay. Use the typical finance figure when pay comes up. See finance jobs
Questions you could be asked
- Tell me about a project where quantitative finance was part of your work. What did you do?
- Tell me about a project where risk modeling was part of your work. What did you do?
- Tell me about a project where p l was part of your work. What did you do?
- Tell me about a project where treasury was part of your work. What did you do?
- Walk me through how you've used Scala in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Quantitative Finance, Risk Modeling, P L, Treasury, and Scala. 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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