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Quantitative Developer

  1. London
  2. Full-time
  3. Solutions Group

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Company Description

We are Legal & General Investment Management (LGIM), the asset-management arm of Legal & General Group. Our purpose is to create a better future through responsible investing. We strive to achieve this through a strong sense of partnership with our clients, working together to achieve positive long-term outcomes. We draw on industry-leading expertise to innovate constantly across public and private assets, index and active strategies. And we are a responsible investor, rising to the challenges of a rapidly changing world. 

We are truly international, present where our clients need us. Our teams around the world are highly dedicated, professional and collaborative and we draw strength from our diversity of talent. We are clear on what we stand for and our commitment to inclusivity anchors our behaviours. 

Recruiter: Jamie.daley@landg.com  Internal Closing Date: 21/06/2024


Job Description

We currently have  an exciting and unique opportunity to join a successful and growing team within Legal and General Investment Management (LGIM). The role is part of an enterprise quant development team, tasked to modernise and turbo charge the engineering that takes place within the Investments function that drives innovation and new product development. The developer will be a member of the team guiding and leading the python competency within LGIM

The increased popularity in Python, creating technical solutions and automating financial processes and data flows has become essential to teams across the business. This multi-faceted role will involve building financial products, advising teams on technical decisions across the business, and being a front runner in investigating and learning the new technologies available

What you'll be doing:

  • Working with front office to build, develop and enhance models and processes. This involves understanding the end-to-end processes, implementing the financial concepts, advising on the technical build, and working with a team to develop the overall solution
  • Supporting relevant Investments teams in their use of Python, advising on potential solutions, and acting as a consultant on suggested improvements and enhancements
  • Sharing knowledge and helping to train others on the best practises in Python. This is in order to encourage the use of Python to help automate processes and reduce risk throughout LGIM
  • Implementing end-to-end, integration and unit testing in Python, and encourage the best practises Python throughout LGIM
  • Supporting users on our Domino DataLabs platform, answering queries and investigating any issues
  • Working with the rest of the Investment Engineering team to build and add to our internal library LGIM PyKit. LGIM PyKit is a comprehensive library of reusable components for building LGIM specific solutions, complementing opensource libraries
  • Through engagement with business and technology stakeholders, identifying solutions for improving existing tools and processes, be this in terms of calculation efficiency, use of new libraries/techniques, general code quality, improved testing, etc
  • Spotting opportunities to help/advise others on technical/technological issues, being approachable and flexible, maintaining and improving our relationships with other teams in Investments

Qualifications

Who we're looking for:

  • To hit the ground running in this role you’ll demonstrate strong Quantitative analysis and financial engineering knowledge as well as strong Python development experience ideally from an Investment Management background
  • You’ll have a strong analytical mindset, attention to detail, and problem-solving ability
  • SQL and VBA experience, preferred
  • Version control and testing knowledge, essential
  • Demonstrate previous experience with Agile delivery
  • Excellent communication skills, in particular explaining technical details to non-technical stakeholders
  • Passionate about continuous development and learning
  • Experience working with front-end languages (e.g. JavaScript, React, HTML, CSS) - desirable
  • Experience working with big data and/or data lakes - desirable

Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer: 

  • The opportunity to participate in our annual, performance-related bonus plan and valuable share schemes  
  • Generous pension contribution  
  • Life assurance   
  • Private medical insurance (permanent employees only) 
  • At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday 
  • Competitive family leave 
  • Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice 
  • There are the many discounts we offer – both for our own products and at a range of high street stores and online   
  • In 2023, some of our workspaces were redesigned. Our offices are great spaces to connect and collaborate and have your wellbeing at the heart 

Additional Information

Legal & General is a leading financial services group and major global investor, named Britain’s Most Admired Company in 2023, for the second year running. Rated top in our sector and top for inspirational leadership, we have a strong heritage and an exciting future.

We aim to build a better society for the long term by investing our customers’ money in things that make life better for everyone.

If you join us, you’ll be part of a welcoming culture, with opportunities to collaborate with people of diverse backgrounds, views and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.

We strive to be open, mindful and inclusive, so are always willing to discussing flexible working arrangements and reasonable accommodations for candidates with specific needs.

If you’re open to find out more, we'd love to hear from you.

Great news! We will let you know when a new job like this has been added!

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