Data Product Developer in London

Overview

Commcise offers independent, cloud-based (SAAS), fully-integrated commission management and research valuation solutions to the buy-side, sell-side and research providers through its COMMCISEBUY, COMMCISESELL and COMMCISECS product suite.

With over 600 buy-side and sell-side clients globally, Commcise's clients include some of the largest institutional asset managers, hedge funds, brokers and research providers in the world.

Commcise is a company of Euronext, the leading pan-European exchange in the Eurozone.

Commcise is seeking an experienced and passionate individual to join our team to build-out new Data Products and integrate AI into existing business functionality.

As a Data Product Developer, you'll play a crucial role in shaping our data-driven solutions.

This position can be considered "Full Stack", combining Data Science analysis with engineering solutions for final product delivery to our clients.

We are looking for someone with a positive, entrepreneurial mindset who can collaborate effectively with cross-functional teams to build innovative data products and seamlessly integrate AI capabilities into our existing business functionality.

Responsibilities

• Data Analysis: Dive into complex datasets, extracting meaningful insights, and identifying patterns.
• Collaborate with stakeholders to understand business requirements and translate them into actionable data strategies.
• Python Coding: Write efficient, maintainable code for processing and transforming data; collaborate with data engineers to ensure seamless integration of data pipelines.
• Platform Delivery: Work closely with the team to deliver data products onto the target platforms.
• AI Integration: Work with the team to integrate AI models into our systems.
• Key Accountabilities
• Collect, process, and analyse large datasets from various sources to uncover insights and patterns.
• Collaborate with cross-functional teams to understand business objectives and translate them into new data products.
• Perform data mining, statistical analysis, and predictive modelling to drive business decisions.
• Build data architecture and pipelines to support data products.
• Build predictive models for various business applications (e. g., Research Pricing, recommendation systems).
• Optimize and fine-tune existing models for improved performance, efficiency, and accuracy.
• Develop and implement machine learning models using Python and relevant libraries.
• Communicate findings and results to both technical and non-technical stakeholders.
• Knowledge, Skills and Experience Required

Essential

• Minimum of 3 years of hands-on experience in data product development.
• Strong understanding of data structures, algorithms, and statistical concepts.
• Proficiency in Python and ETL frameworks.
• Deep knowledge of data pipeline architectures and products such as Snowflake or similar.

Desirable

• Experience with delivering data products to clients via APIs.
• Familiarity with data visualization tools.
• Knowledge of locating, assessing and integrating third party data-sets.
• Experience with machine learning techniques and libraries (e. g., regression, classification, clustering, neural networks).
• Solid understanding of AI concepts, including supervised and unsupervised learning.
• Knowledge of cloud computing platforms (e. g., AWS, GCP, Azure).

Education and Knowledge

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Profile and Skills
• Comfortable in fast-paced, entrepreneurial environment.
• Strong communication and teamwork abilities.
• Ability to deliver individually and as well as a part of the team.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Euronext Values
• Unity

: We respect and value the people we work with; we are unified through a common purpose; we embrace diversity and strive for inclusion.

Integrity

: We value transparency, communicate honestly and share information openly; we act with integrity in everything we do; we don\'t hide our mistakes, and we learn from them.

Agility

: We act with a sense of urgency and decisiveness; we are adaptable, responsive and embrace change; we take smart risks.

Energy

: We are positively driven to make a difference and challenge the status quo; we focus on and encourage personal leadership; we motivate each other with our ambition.

Accountability

: We deliver maximum value to our customers and stakeholders; we take ownership and are accountable for the outcome; we reward and celebrate performance.

We are proud to be an equal opportunity employer.

We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor.

We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.

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