Quant Research and Development, Credit

Posted 8 Days Ago
Be an Early Applicant
London, Greater London, England
1-3 Years Experience
Fintech • Software • Financial Services
The Role
Join a dynamic and expanding quantitative research team with a focus on credit. Help drive process innovation in fixed income investment management through data-driven insights and machine learning techniques. Own modelling and optimization processes for investment processes. Collaborate in a diverse team and learn from deep experience.
Summary Generated by Built In

Please note this position is based in London and this will be the contractual location of the successful candidate, other locations cannot be considered.

Quant Research and Development, Credit

This is a great job for someone to join a dynamic and expanding quantitative research team with a focus on credit, within the Portfolio Implementation team, which is responsible for utilising a range of quantitative techniques and datasets to generate investment insights for our investments divisions.

A bit about the job:

We are looking for an individual with a passion for problem-solving and creating innovative solutions to join our Public Markets Portfolio Implementation Team. You will help the fixed income investment management team drive process innovation by identifying opportunities to generate alpha through data-driven insights and the application of machine learning techniques. You will bring your curiosity to test and develop quantitative insight, and software engineering skills to help build the next generation of portfolio construct and alpha-generating tools which will be utilised by multiple asset classes and investment processes. You will own the modelling and optimisation processes used to drive our IG and HY investment processes.

You will be working within a diverse team with a range of talent that you will collaborate with on a range of areas of interest across the Public Markets Implementation team, along with deep experience to tap into and learn from.

Skills and experience we’re looking for:

  • Experience, ideally in applying quantitative methods in investing, and proficient in handling large financial datasets in a quant, portfolio management, data-science, or software engineering role.

  • Strong coding skills in Python, with ability to effectively translate real-world modelling problems into code and practical tools. Familiarity with SQL and expertise in machine learning are plus.

  • Deep understanding of credit markets and proficiency in conducting fundamental credit analyses, evaluating credit spreads and yield curves to inform investment decisions.

  • Expertise in mathematical linear and nonlinear optimisation methods.

  • Outstanding analytical skills, both quantitative and qualitative.

What you’ll get for this role:

  • Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in

  • Eligibility for annual performance bonus

  • Family friendly parental and carer’s leave

  • Generous holiday entitlement plus bank holidays with the option to buy/sell up to 5 additional days

  • Up to 40% discount for Aviva products

  • Brilliant flexible benefits including electric cars

  • Aviva Matching Share Plan and Save As You Earn scheme

  • 21 volunteering hours per year

In this role you’ll be ‘Certified’ under the Financial Conduct Authority / Prudential Regulation Authority’s Senior Managers and Certification Regime (SMCR). This means that we’ll need to complete some regulatory background checks on you before you take up your role and we’ll need to ask you some questions on an annual basis to make sure you remain ‘fit and proper’ and competent to carry out your role. We’ll provide training on what holding a SMCR role means when you join us and annually thereafter.

Aviva is for everyone:

We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares.

We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working –spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.

To find out more about working at Aviva take a look here

We’d love it if you could submit your application online. If you require an alternative method of applying, send an email to [email protected]

Top Skills

Python
The Company
HQ: London
1,340 Employees
On-site Workplace
Year Founded: 2008

What We Do

Welcome to Aviva Investors. The global asset manager that chooses integration.

The future is full of questions. Only by working closely with our clients can we find the answers. That’s why we integrate our whole business around our clients – their goals, their values and the experience they have when they work with us.

That’s why we start by listening closely and understanding their investment aspirations and concerns – from low prospective investment returns, to highly correlated asset prices; from the prospect of rising global interest rates, to the challenges and opportunities of market volatility. Through our vast collective industry experience, we’ve been through every market cycle, making us better prepared for the next one.

Inspired by our deep client insight, we build solutions that aim to defy uncertainty, answering the questions that keep our clients awake at night. From large institutional investors to individuals saving for retirement, we work together to deliver meaningful outcomes, now and over the long run.

That’s why we work hard to join the dots across asset classes to find the best investment ideas; why we break down barriers so our teams can connect seamlessly; and why we manage risk with discipline and rigour. By working in partnership, we bring components together in new ways to ensure our clients get the very best of our collective expertise with every investment.

Please remember the value of an investment and any income from it can go down as well as up. Investors may not get back the original amount invested.

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