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채용Morgan Stanley

Client Financing Strategist (Front Desk Quant) (Hybrid)

Morgan Stanley

Client Financing Strategist (Front Desk Quant) (Hybrid)

Morgan Stanley

Montreal, Quebec, Canada

·

On-site

·

Full-time

·

3mo ago

필수 스킬

Optimization methods

Statistical modeling

Problem formulation

Communication

The Client Financing Strats team focuses on three areas: developing pricing and risk models and systems to support client financing trading in products such as repo, bills, total return swaps, and bond forwards; implementing electronic trading algos for repo and bills and driving system development; building data analytics that improve business operation efficiency.

Client Financing is seeking a Front Desk Quant/Strat in Montreal to contribute to the research and development of client financing strats, with a focus on data analytics and improvement of live risk and P&L (profit and loss) system.

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.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

  • Drive automation of sales and trading workflows to unlock efficiency and empower smarter, faster decision-making.

  • Active development and production support of trading applications in a Python-based data analytics library;

  • Active development and production support in Scala-based risk and P&L system;

  • Close collaboration with operations, middle office, IT teams to improve the existing workflows of Client Financing;

  • Acquiring in-depth knowledge of repo markets to improve collateral allocation and funding, balance sheet management, and funding cost P&L attribution;

  • Establishment of a close relationship with Sales and Trading to identify P&L opportunities, propose and implement creative solutions for P&L generation;

  • Close collaboration with other Strats groups to consolidate resources and push for strategic business solutions.

What you’ll bring to the role:

  • Advanced degrees in quantitative fields such as Mathematics, Statistics, Engineering, Physics or Computer Science.

  • Strong knowledge of constrained optimization methods and the ability to formulate complex problems in an optimization framework.

  • Strong knowledge of statistical models such as PGM, MCMC and Bayesian networks and ability to analysis large datasets.

  • Strong communication skills and ability to present complex issues clearly, both verbally and in writing; capacity to think creatively and approach problems from innovative perspectives.

  • Ability to work thoughtfully, independently and manage multiple projects.

Nice to have:

  • Knowledge of generative models such as GANs, VAEs and GFlow Nets.

  • Knowledge of Fixed Income products.

  • Strong technical skills in programming, such as Scala and Python.

At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across the businesses for those who show passion and grit in their work.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

Build a career with impact. Visit morganstanley.com for more information.

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 opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

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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

3.2

10개 리뷰

워라밸

2.5

보상

2.8

문화

3.8

커리어

3.2

경영진

3.5

45%

친구에게 추천

장점

Nice and welcoming people/coworkers

Good career foundation and growth opportunities

Great management and benefits

단점

Limited conversion to full-time positions

Poor compensation for junior employees

High turnover and branch politics

연봉 정보

6,255개 데이터

Junior/L3

Mid/L4

VP

Intern

Director

Junior/L3 · Analyst

40개 리포트

$109,500

총 연봉

기본급

$100,000

주식

-

보너스

-

$83,048

$227,500

면접 경험

5개 면접

난이도

3.2

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 80%

부정 20%

면접 과정

1

Application Review

2

HR Screen/HireVue

3

Technical Interview

4

Superday/Final Round

5

Offer Decision

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Finance/Investment Concepts

Case Study

Culture Fit