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- Tasks: Develop innovative software solutions and enhance our 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.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- 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.
The predicted salary is between 60000 - 80000 £ 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)
Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.
Software Engineer - Quant employer: Barings LLC
Contact Detail:
Barings LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Quant
✨Tip Number 1
Network like a pro! Reach out to current employees at Barings on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio, make sure to highlight it during interviews. Demonstrating your Python prowess and any cool projects can really set you apart from the crowd.
✨Tip Number 3
Prepare for technical challenges! Brush up on your coding skills and be ready to tackle some real-world problems during the interview. Practising with platforms like LeetCode can help you ace those tricky questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Barings team.
We think you need these skills to ace Software Engineer - Quant
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, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you're keen on joining our team at Barings!
How to prepare for a job interview at Barings LLC
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with libraries like Pandas and PySpark. Be ready to discuss your past projects and how you've used these tools to solve real-world problems.
✨Understand the Quant Landscape
Familiarise yourself with the quant finance space, particularly around Fixed Income and Multi-Asset strategies. Being able to speak knowledgeably about these areas will show your genuine interest in the role and the company.
✨Showcase Your Collaboration Skills
Prepare examples of how you've worked in cross-functional teams. Highlight your ability to communicate complex technical topics clearly, as this is crucial for working with business partners and mentoring less experienced team members.
✨Stay Updated on Industry Trends
Research the latest trends in data engineering and emerging technologies. Being able to discuss recent developments or tools you've explored will demonstrate your passion for continuous learning and innovation in the field.