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Application & Quantitative Developer

The application development team creates the systems that deliver the service to Quantile’s clients. The team’s responsibility is to design and build systems that permit financial market participants to securely provide risk and trade data to Quantile, to deliver that data into the quantitative algorithms developed by the strats, and to return the output of those libraries safely back to the participants in a timely manner.  In addition, the systems  provides analytics and feedback to Quantile’s products team and our clients to help them to understand the results as well as how they can modify their parameters and data to gain improvements in the future.  The backend is written in python and makes use of several AWS services, whereas the front end is  html/javascript (react).  We also have smaller amounts of C++, java, scala. Data is stored in combination of RDS (postgres), Redshift and S3. We are looking for a junior (graduate) full stack developer to work on portal development, back-end business logic and data analytics.

Examples of recent projects include:

  • Addition of new services for optimisation of counterparty risk to client portal
  • Addition of client analytics to portal to understand historical changes in SIMM
  • Automation of pricing and risk checks of client data
  • Tools for publishing marketing materials and news to clients on portal
  • Optimisation of post-optimisation reporting to improve completion time of compression services

Responsibilities:

  • Working both individually and as part of a larger team to deliver high quality software solutions
  • Building APIs for scenario generation calling into quant libraries
  • Building unit tests and promoting continuous improvement throughout every stage of development
  • Ongoing maintenance and support of components
  • Ongoing evaluation and improvement of component effectiveness
  • Validation of client data
  • Automation of processes where necessary and appropriate
  • Generation of formatted reports and files to be sent to clients and 3rd party APIs
  • Improving and adding to component documentation
  • Persist the data and build tools, dashboards and analytics to  perform data analytics

Essential:

  • 0 to 2 years professional experience as a Python Developer, working on data intensive numerical applications (E.g. Using Numpy, Pandas)
  • Experience with the all stages of the software development lifecycle from product design, technical design, coding, testing, documentation, release into production and ongoing maintenance
  • Strong understanding of "good design" (eg SOLID design principles) pythonic code style and different design paradigms (eg OO, Functional, Imperative)
  • Experience working with AWS python SDK
  • Excellent problem-solving and communication skills. We work in partnership with product team to collaboratively design and improve functionality
  • Familiarity with the unix command line
  • Familiarity with Git or similar source control solution

Desirable

  • Understanding of financial derivatives including the role of clearing houses, differences between OTC & listed derivatives, margin, capital 
  • Quantitative/data analysis background
  • Experience of Java and/or C++ (We don’t do much of either internally, but some systems require us to interface with third party libraries which are sometimes only available in Java or C++)
  • Experience as a full-stack developer with React / JS front end and python backend

Experience with relational database design and implementation in postgres

Compensation/Benefits Information:

LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $75,100 - $125,300.

Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/”bonus plan”). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG’s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.

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.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Average salary estimate

$100200 / YEARLY (est.)
min
max
$75100K
$125300K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Application & Quantitative Developer, LSEG

If you're looking to kickstart your career as an Application & Quantitative Developer in the bustling heart of New York City, then Quantile is the place to be! Our dynamic application development team is excited to welcome a junior full stack developer ready to dive into the world of financial services. At Quantile, we create sophisticated systems that help financial market participants share risk and trade data securely, allowing for a seamless flow of quantitative analysis. Imagine building APIs, validating client data, or working with analytics to make informed recommendations that'll help our clients and products team improve their offerings. You'll also get your hands dirty with Python, AWS services, and various databases while collaborating with a team that values integrity, partnership, and excellence. Recent projects have included optimizing counterparty risk and automating pricing checks, providing you with a front-row seat to impactful work. With the opportunity to develop both backend workflows and frontend interfaces using React, you’ll truly be part of the complete development lifecycle. Here at Quantile, we believe in continuous improvement, so expect to engage in not just software delivery, but also maintaining and enhancing existing components while working with the latest technologies. Join us, and let’s drive sustainable growth and innovation in the financial ecosystem together!

Frequently Asked Questions (FAQs) for Application & Quantitative Developer Role at LSEG
What responsibilities does an Application & Quantitative Developer at Quantile have?

As an Application & Quantitative Developer at Quantile, you'll play a pivotal role in designing and building systems for the financial market. Your responsibilities include building APIs for scenario generation, automating processes, validating client data, and generating formatted reports. You will also be involved in maintaining and improving existing software components, ensuring they effectively meet client and product needs.

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What qualifications are necessary for the Application & Quantitative Developer position at Quantile?

To qualify for the Application & Quantitative Developer position at Quantile, you should have 0 to 2 years of professional experience with Python and a strong understanding of software design principles. Familiarity with the AWS Python SDK, Unix command line, and version control systems like Git is essential. A background in financial derivatives and data analytics will give you an edge, while experience with full-stack development, including React, is highly desirable.

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What technologies will I work with as an Application & Quantitative Developer at Quantile?

In the Application & Quantitative Developer role at Quantile, you'll work primarily with Python for backend development, utilizing AWS services to enhance performance. The frontend development will use HTML and JavaScript frameworks like React. Additionally, you'll engage with databases such as PostgreSQL and leverage data storage solutions like Redshift and S3 for effective data management.

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Can you describe the team culture for Application & Quantitative Developers at Quantile?

Quantile fosters a collaborative and creative atmosphere where Application & Quantitative Developers work together to build innovative solutions. The culture emphasizes integrity, partnership, and excellence, encouraging team members to share ideas and contribute to improvements. You'll be part of a diverse team that promotes individualism while aiming for collective success in providing top-notch financial services.

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What growth opportunities exist for an Application & Quantitative Developer at Quantile?

As an Application & Quantitative Developer at Quantile, you'll have numerous opportunities for growth and development. The role encourages continuous learning and improvement, allowing you to engage with a variety of technologies and projects. You'll work closely with senior developers and product teams, giving you insights into product design and project management, paving the way for future advancement within the company.

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Common Interview Questions for Application & Quantitative Developer
What experience do you have with Python in developing applications?

When answering this question, focus on specific projects where you utilized Python, mentioning libraries like Numpy or Pandas for data manipulation. Explain your involvement in the full software development lifecycle, emphasizing your coding, testing, and documentation skills, as well as any AWS experience.

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Can you explain the importance of API in software development?

Discuss how APIs facilitate seamless communication between different software components. Provide examples of scenarios where you've built APIs, detailing their role in scenario generation and interaction with quantitative libraries, which is crucial for the role at Quantile.

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How do you ensure the quality of your code?

Talk about your experience with unit testing and promoting continuous improvement practices. Highlight specific tools or methodologies you've used, and reference any practice of code reviews or utilizing version control systems like Git to maintain code quality.

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Describe a challenging project you worked on and how you overcame difficulties.

When answering, outline a specific project with clear challenges. Discuss the steps you took to overcome obstacles, how you collaborated with your team, and the end results. This will showcase your problem-solving capabilities, an essential trait for an Application & Quantitative Developer.

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What do you know about financial derivatives and their functions?

Provide a brief overview of financial derivatives, their role in risk management, and how they differ between OTC and listed derivatives. Mention any coursework or projects related to this topic to reinforce your knowledge and relevance to the position at Quantile.

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How do you approach learning new technologies?

Share your method for exploring new technologies, such as setting aside regular time for learning, participating in online courses, or following industry news. Discuss any recent technology you've learned and how that made a difference in your previous projects.

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Can you give an example of a time you worked in a team to deliver an important project?

Outline a project where teamwork was essential. Describe your role, how you collaborated with teammates, and how you ensured effective communication. Emphasize successful outcomes that stemmed from your collective efforts and how teamwork played a crucial role.

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What do you consider to be 'good design' principles?

Discuss key principles such as SOLID principles, maintainability, readability, and efficiency. Use examples from your past work to illustrate how you've implemented these principles in your coding practices, especially in Python.

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How familiar are you with AWS services, and which ones have you used?

Highlight your experience with AWS services relevant to the role, such as S3 for storage, RDS for databases, or Lambda for serverless applications. Provide specific examples of projects where you integrated AWS into your development work.

Join Rise to see the full answer
What do you think makes a successful Application & Quantitative Developer?

Address the blend of technical skills and interpersonal abilities that define success in the role. Mention the importance of strong coding skills, understanding of quantitative data analysis, effective communication, and a collaborative spirit in contributing to project success.

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EMPLOYMENT TYPE
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DATE POSTED
April 23, 2025

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