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Credit SSG Strat

Morgan Stanley

Credit SSG Strat

Morgan Stanley

London, United Kingdom

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Generous paid time off and holidays

Professional development budget

Comprehensive health, dental, and vision insurance

Flexible work arrangements

Team events and activities

Learning

Healthcare

Flexible Hours

Required Skills

PostgreSQL

Python

JavaScript

JOB LEVEL

Associate 3 (Program)

TIER

NA

Credit SSG Strat – Associate – London

Morgan Stanley is a leading global financial services firm that has been a driving force in the industry for 90 years. With a strong reputation for innovation, integrity, and teamwork, we are committed to delivering exceptional results to our clients and shareholders. Our people are our greatest asset, and we are dedicated to fostering a culture of collaboration, creativity, and excellence.

Role Overview

The role involves quantitative analysis, programming, and direct interaction with the trading desk to deliver scalable tooling and analytics to support trading within the Credit Special Situations Group (SSG) business. You will be partnering with traders, technology, and other stakeholders to drive innovation in risk, pricing and analytics which directly impact trading decisions. This is an ideal opportunity for someone with strong technical foundations and keen interest in financing markets within credit.

Responsibilities

  • Deliver quantitative tooling and analytics to support the SSG trading business.
  • Automate desk processes and streamline data workflows using Python and KDB.
  • Work closely with traders to enhance real-time decision support, provide custom solutions and scalable analytics.
  • Collaborate with strats, tech and other functions to drive innovation and process improvements.

Qualifications

  • Strong programming skills in Python (or similar); experience with KDB/SQL and comfortable with data handling.
  • Proactive problem-solver with attention to detail and strong desire to learn.
  • Ability to work independently and rigorously with highly complex datasets and systems.
  • Basic understanding of financial markets and interest in Credit within fixed income.
  • Effective communication skills, with the ability to work in a fast-paced, collaborative environment.
  • Advanced degree (PhD, Masters or equivalent) in quantitative field such as mathematics, statistics, physics, computer science and engineering.

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 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.

Internal Applicants

Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clicking here.

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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