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- Tasks: Develop innovative software solutions and enhance the quant platform using Python.
- Company: Join Barings, a leading global financial services firm with a collaborative culture.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in finance while working with cutting-edge technology.
- Qualifications: Advanced Python skills and experience in data architecture are essential.
- Other info: Dynamic team environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
At Barings, we are as invested in our associates as we are in our clients. We recognise those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.
Barings, as part of the MassMutual group, is a $345+ billion global financial services firm dedicated to meeting the evolving investment and capital needs of its clients. Through active asset management and direct origination, Barings provides innovative solutions and access to differentiated opportunities across public and private capital markets. A subsidiary of MassMutual, Barings maintains a strong global presence with business and investment professionals located across North America, Europe and Asia Pacific.
We are looking for an experienced Software Engineer with a passion for Python and a knack for creating cutting-edge technology. This role offers a unique blend of technical challenges and the ability to make a major impact on the firm. At Barings, we are building a team of technical leaders passionate about emerging technologies and driving our business toward a data and engineering centric strategy. You will be responsible for working with various business partners across the Quant and Risk area to play a critical role in building out and enhancing the quant platform.
Responsibilities
- Support automation and optimization of Quant Research processes
- Work across asset-classes with particular focus on Fixed Income, Multi-Asset and Insurance
- Work closely and collaboratively with our business partners to understand requirements and develop business focused solutions
- Advanced proficiency in Python with a strong focus on Pandas and PySpark
- Work in cross-functional agile teams to continuously experiment, iterate, and deliver on new objectives
- Strong track record in working with open-source projects and picking the right tool for the job by keeping up to date on the latest industry trends in upcoming technologies
- Ability to bring less experienced team members along for the ride with the ability to explain the complex technical topics and conduct code reviews
- Experience building data pipelines and orchestration frameworks
Requirements
- Advanced Python
- Strong knowledge of PySpark and the Databricks ecosystem
- Implement scalable and re-usable frameworks and solutions utilizing good DevOps practices
- Strong software engineering fundamentals with a focus on writing clean, well-tested code
- Good understanding of data and data architecture patterns
- Experience with relational and time-series databases
- Self-starter attitude
- Ability to work with global teammates across three different time zones
Desirable
- Good understanding of ML and NLP processes
- Experience working in Cloud environments particularly in Azure
- Experience working with and creating reusable Restful APIs
- Working knowledge of PowerBI and report building
- Working knowledge of Typescript and Angular
Requisite Skills
- Python (Programming Language), SQL Coding
Additional Skills
- Microsoft Power Business Intelligence (BI)
Software Engineer - Quant in London employer: Barings LLC
Contact Detail:
Barings LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Quant in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Barings. Building relationships can open doors that applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Python and data pipelines. This will give you an edge and show you're serious about the role.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding the quant space. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through the Barings website. It shows you're genuinely interested and gives you a better chance of being noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Software Engineer - Quant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software Engineer - Quant role. Highlight your Python skills and any experience with Pandas and PySpark. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for technology and how you can contribute to our quant platform. Let us know why you're excited about joining Barings and how you fit into our team.
Showcase Your Projects: If you've worked on any relevant projects, especially open-source ones, make sure to mention them. We love seeing practical examples of your work and how you tackle technical challenges.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Barings LLC
✨Know Your Python Inside Out
Since the role requires advanced proficiency in Python, make sure you brush up on your skills. Be prepared to discuss your experience with libraries like Pandas and PySpark, and maybe even solve a coding challenge during the interview.
✨Understand the Quant Landscape
Familiarise yourself with the quant finance space, especially around Fixed Income and Multi-Asset strategies. Being able to speak knowledgeably about how your technical skills can enhance quant research processes will impress your interviewers.
✨Showcase Your Collaboration Skills
This role involves working closely with business partners and cross-functional teams. Prepare examples of past experiences where you've successfully collaborated on projects, highlighting your communication skills and ability to bring less experienced team members along for the ride.
✨Stay Updated on Industry Trends
Barings is looking for someone who keeps up with emerging technologies. Research the latest trends in data engineering and software development, and be ready to discuss how you can apply these insights to the role.
