Software Engineer - Quant

Barings
Charing Cross, United Kingdom
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Charing Cross, United Kingdom

Tech stack

Cloud Computing
Code Review
Databases
Data Architecture
DevOps
Python
Open Source Technology
Power BI
Software Engineering
SQL Databases
TypeScript
Pandas
Angular
PySpark
REST
Data Pipelines
Databricks

Job description

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. Software Engineer - Quant Department name: Software Engineering Location: London Who We Are 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

Requirements

business and investment professionals located across North America, Europe and Asia Pacific. 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 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 inAzure 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.

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