Software Engineer - Director

Barings
London
1 week ago
Create job alert

At Barings, we are as invested in our associates as we are in our clients. We recognize 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.

We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities.

Job Title:Software Engineer

Corporate Title:Director

Department Name:Software Engineering

Location:London or Charlotte, NC

Job Description: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:

  1. Support automation and optimization of Quant Research processes
  2. Work across asset classes with particular focus on Fixed Income, Multi-Asset and Insurance
  3. Work with the business partners to understand requirements and develop business-focused solutions
  4. Advanced proficiency in Python with a strong focus on Pandas and PySpark
  5. Work in cross-functional agile teams to continuously experiment, iterate, and deliver on new objectives
  6. 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
  7. Ability to bring less experienced team members along for the ride with the ability to explain complex technical topics and conduct code reviews
  8. Experience building data pipelines and orchestration frameworks

Requirements:

  1. Advanced Python
  2. Strong knowledge of PySpark and the Databricks ecosystem
  3. Implement scalable and reusable frameworks and solutions utilizing good DevOps practices
  4. Strong software engineering fundamentals with a focus on writing clean, well-tested code
  5. Good understanding of data and data architecture patterns
  6. Experience with relational and time-series databases
  7. Self-starter attitude
  8. Ability to work with global teammates across three different time zones

Desirable:

  1. Good understanding of ML and NLP processes
  2. Experience working in Cloud environments such as Azure or AWS
  3. Experience working with and creating reusable Restful APIs
  4. Working knowledge of PowerBI and report building

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.

#J-18808-Ljbffr

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer (Python React)

Software Engineering Manager

Software Engineer

Software Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Careers

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

Jobs Careers

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.