Quantitative Engineer: Finance Analytics & Scalable Software

Quantitative Engineer: Finance Analytics & Scalable Software

Full-Time 55000 - 65000 £ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Build scalable applications and solve real-world finance problems with innovative tech.
  • Company: Join LSEG, a global leader in financial markets and data services.
  • Benefits: Enjoy competitive pay, healthcare, remote work options, and personal development opportunities.
  • Other info: Be part of a diverse team that values innovation and offers excellent career growth.
  • Why this job: Make a significant impact in finance while growing your skills in a dynamic environment.
  • Qualifications: Experience in quantitative analytics and strong programming skills in Python and SQL required.

The predicted salary is between 55000 - 65000 £ per year.

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs.

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives.

FTSE Russell, a leader in global indexing and analytics, is seeking a skilled and motivated Quantitative Engineer to build robust, scalable and automated applications that support trillions in assets. You will have a combined understanding and background in software engineering, quantitative finance and data analysis to help build the next generation of Index solutions.

WHAT YOU’LL BE DOING:

  • Write clean, efficient, maintainable code to support index calculations, back-testing, performance attribution and analytics frameworks used for internal and external stakeholders.
  • Integrate, process, clean and analyze financial datasets including traded instruments, reference and alternative data.
  • Implement RESTful APIs, cloud-native solutions, microservices, and automated CI/CD pipelines for rapid delivery.
  • Collaborate with Product, Research and Operations teams to provide support and tools for their day-to-day and periodic activities.
  • Gain in depth exposure to quantitative methods, systematic investment strategies and associated analytics.

WHAT YOU’LL BRING:

  • Minimum 2 years experience of quantitative analytics, research and development within financial services.
  • Graduate with an advanced degree (MSc or PhD) in Mathematics, Computer Science, Financial Engineering, Statistics, Physics or related scientific discipline.
  • Strong programming skills in Python and SQL, with experience in data analytics libraries.
  • Strong background in software engineering best practices, standards and principles.
  • Additional programming skills in C# or Java, and database skills across standard technologies.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. We are proud to be an equal opportunities employer.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Engineer: Finance Analytics & Scalable Software

Tap into Campus Networks

If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.

Get Certified

Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.

Connect on Professional Platforms

Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.

Apply Directly and Be Proactive

Don’t shy away from reaching out directly to firms like Dormont Manufacturing Co. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.

We think you need these skills to ace Quantitative Engineer: Finance Analytics & Scalable Software

Quantitative Analytics
Data Analysis
Software Engineering
Python
SQL
Data Analytics Libraries (numpy, pandas, scipy, cvxpy)
RESTful APIs

Some tips for your application 🫡

Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.

Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Dormont Manufacturing Co.

Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.

Research and Reflect:Before hitting that 'apply' button on Dormont Manufacturing Co's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!

How to prepare for a job interview at Dormont Manufacturing Co

Brush Up on Financial Analysis Skills

Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Dormont Manufacturing Co.

Prepare for Case Studies

Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.

Show Your Passion for Finance

Since this is a full-time position, employers at Dormont Manufacturing Co will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.

Network with Industry Professionals

Before your interview, reach out to current or former Dormont Manufacturing Co employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.