FID – eRates Strategist – Assoc/VP

PowerToFly; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading financial services firm in Greater London is seeking a candidate to design and implement electronic trading algorithms for government bonds and interest rate swaps. Responsibilities include developing statistical models for pricing and risk management. The ideal candidate should have strong foundations in stats and data analysis, proficiency in Python, and an advanced degree in a quantitative field. A collaborative work environment is offered with a focus on flexibility and inclusion.

Benefits

Comprehensive employee benefits

Flexible working opportunities

Supportive work culture

Qualifications

• Strong foundation in probability and statistics.
• Experience with RFQ auto-quoting models and algorithms is desirable.
• Proven ability to collaborate closely with IT teams.

Responsibilities

• Design and implement electronic trading algorithms for government bonds.
• Develop statistical and machine learning models for RFQ pricing.
• Build tools for performance tracking of algorithms.

Skills

Probability

Statistics

Data analysis

Python

Communication skills

Self-motivated

Financial markets knowledge

Education

Advanced degree in quantitative field

Tools

Q/kdb

Java

Job description

Department Overview

The Fixed Income Division (FID) is comprised of Interest Rate and Currency Products, Credit Products, Securitized Products, and Municipal Securities. Professionals in the Division assess and actively manage risk, trade securities, and structure as well as execute innovative transactions in the fast-paced and constantly changing global markets. The Commodities Division is a market leader in energy, metals, and agricultural product trading worldwide whose professionals’ trade in both physical and derivative commodity risk.

About Morgan Stanley

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We can provide a superior foundation for building a professional career – a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

What will you be doing?

The role focuses on designing and implementing electronic trading algorithms for government bonds and interest rate swaps.

Responsibilities include developing statistical and machine learning models for RFQ pricing, auto-hedging, risk management, and alpha research, as well as building tools for performance tracking and effective monitoring of algorithms and models.

What we’re looking for:

• Strong foundation in probability, statistics, and data analysis.
• Proficiency in Python; familiarity with Q/kdb and Java is a plus.
• Experience with RFQ auto-quoting models and algorithms is desirable; alternatively, experience in other areas of electronic trading will also be considered.
• Ability to translate trading ideas and business requirements into well-defined problems and deliver incremental solutions.
• Excellent communication skills to explain complex technical concepts to diverse stakeholders, including traders, sales, strats, IT, and risk management teams.
• Proven ability to collaborate closely with IT teams to coordinate delivery.
• Self-motivated, rigorous, and tenacious, with the ability to work independently and manage multiple projects simultaneously.
• Solid understanding of financial markets; knowledge of fixed income instruments, government bonds, and/or interest rate swaps.
• Advanced degree in a quantitative field such as mathematics, statistics, physics, computer science, or engineering; relevant academic research experience is a plus.

Certified Persons Regulatory Requirements

This role is deemed a Certified roleand 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.

Equal opportunities statement

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.

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.

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