Careers

LONDON
We are seeking a proficient Platform Software Engineer to elevate our software and platforms, catering to our evolving cloud requirements. As a pivotal member of our Platform team, the Platform Software Engineer will be entrusted with the task of conceptualizing, constructing, and transitioning applications, software, and services onto the AWS platform. This role demands a focus on designing solutions for seamless deployment in the cloud. Our ideal candidate possesses a fervor for crafting reusable, high-performance solutions to intricate challenges. We value individuals who embrace adaptability in the face of a dynamic market and can collaborate effectively within small teams. Responsibilities Architecting and operating innovative solutions on GOOGLE CLOUD Migrating and transforming legacy solutions to the cloud Designing Cloud Native Architectures and optimizing applications for GOOGLE CLOUD Streamlining and automating application build, test, and deployment processes Providing support to development teams to ensure application reliability and availability Must-Have Requirements Proficiency in Python, Java, or C++ and enterprise-level SQL AWS development expertise with key services: CodePipeline, Amazon Elastic Beanstalk, Lambda, EC2, ECS, S3, RDS, IAM, Cloudwatch Hands-on experience with at least one GOOGLE CLOUD implementation (preferably in an Enterprise scale environment) Familiarity with instrumentation for monitoring/logging the health and availability of services Working knowledge of the Software Development Lifecycle Ability to gather requirements from internal stakeholders and conduct user acceptance testing Experience in developing test plans, test cases, baselines, and conducting end-to-end testing Demonstrated ability to quickly adapt to new technologies Bachelor’s Degree in Computer Science and 2+ years of relevant experience Preferred Qualifications Knowledge of DevOps and CI/CD pipeline Familiarity with GOOGLE CLOUD Cost Management and Cost Optimization Fundamentals Proficiency in DevOps Automation via Jenkins (Jenkinsfile/Groovy scripting) Understanding of Containerization via Docker, Kubernetes, and serverless software development Knowledge of Data Storage, Data ETL Process, and DBMS best practices Basic understanding of financial quantitative applications Experience using package/dependency management tools such as pip/pipenv, conda, or poetry Diverse Perspectives We recognize that innovation flourishes in product teams where diverse perspectives converge to tackle challenging problems in novel ways. Consequently, we actively seek individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Please be prepared to articulate how your unique perspective will contribute something valuable to our product teams.

LONDON
We are in search of a talented Machine Learning Engineer to join our dynamic team. The successful candidate will play a pivotal role in developing and implementing cutting-edge machine learning algorithms for our investment management platform. This position demands expertise in machine learning, statistics, and data analysis, coupled with a genuine passion for innovation and the drive to make a real-world impact. Responsibilities Conduct research in the application of large language models for innovative uses Research machine learning and statistical modeling, focusing on developing groundbreaking algorithms and methodologies for investment management Design and execute experiments to assess the performance of machine learning models Collaborate with the research team to refine and develop algorithms and models Work closely with the engineering team to deploy machine learning models in a production environment Stay abreast of the latest advancements in machine learning research and apply them to our platform Communicate research findings and methodologies to both technical and non-technical stakeholders Requirements Master’s or PhD in computer science, statistics, or a related field, with a specialization in machine learning Proficiency in Python and hands-on experience with machine learning libraries like TensorFlow, PyTorch, or scikit-learn Strong problem-solving skills with the ability to work independently and collaboratively Excellent communication and presentation skills, enabling the explanation of complex technical concepts to non-technical stakeholders Experience in the finance industry or with financial data Familiarity with natural language processing, time-series analysis, or deep learning techniques Experience with cloud computing platforms such as AWS, Google Cloud, or Azure Diverse Perspectives We recognize that innovation flourishes in product teams where diverse perspectives converge to tackle challenging problems in novel ways. Consequently, we actively seek individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Please be prepared to articulate how your unique perspective will contribute something valuable to our product teams.

LONDON
As a Quant Engineer, you’ll be responsible for researching, developing, and maintaining quantitative models and associated IT infrastructure. Tasks range from quantitative finance to statistical learning (machine learning). Your responsibilities include: Designing, building, and delivering robust, production-quality models and code within a unified library. Assisting in the systematic review and ongoing assessment of existing models. Liaising with senior stakeholders to ensure the model meets requirements and aligns with their understanding of associated risks. Delivering high-quality documentation and presentations to support and maintain model and library use.

What You’ll Do: Work on cutting-edge methodologies and technologies for major international clients. Design, prototype, and test quantitative models applied to finance in real-world contexts. Present your work and ideas to audiences with diverse experience and domain knowledge. Engage in all phases of transforming a quantitative idea into a final product or service, from Proof-of-Concept to client deliverables. Contribute as a team member, requiring a blend of hard and soft skills for success. Stakeholder Management / Leadership: Facilitate and challenge discussions with senior stakeholders. Gather and document model requirements. Communicate model development progress, attend regular working groups, and escalate risks and issues to senior stakeholders. Communicate and explain model results to stakeholders.

You Bring: Postgraduate degree in a highly quantitative discipline. Excellent communication skills; fluency in English. Ability to deliver on tight deadlines for quantitative projects. Proficiency in Python (preferred), R, or MATLAB (Java is a plus). Good understanding of statistical and econometric modeling techniques, including time series analysis, regression models, and various estimation techniques, machine learning. 

Preferred: PhD in a highly quantitative discipline. Experience in designing and developing statistical, econometric, and machine learning models. Analyzing large volumes of data, including cleaning, pattern identification, and clustering. Knowledge of financial markets and products. Experience with trading software (Murex, Front Arena, FIS).
We acknowledge that innovation thrives in product teams where diverse perspectives converge to tackle challenging problems in novel ways. Consequently, we actively seek individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Please be prepared to articulate how your unique perspective will contribute something valuable to our product teams.