Data Product Developer

Euronext; London; On-site; GBP 60,000 - 85,000; Full time

Job summary

Euronext seeks a Data Product Developer to enhance their innovative data solutions and integrate AI features. The position involves analyzing complex datasets, collaborating with teams, and delivering data architectures. Ideal candidates will possess strong Python skills and experience in data product development.

Qualifications

• Minimum of 3 years of hands-on experience in data product development.
• Strong understanding of data structures, algorithms, and statistical concepts.
• Experience with machine learning techniques and libraries.

Responsibilities

• Collect, process, and analyze large datasets for insights.
• Develop and implement machine learning models using Python.
• Collaborate with stakeholders to translate business objectives into data products.

Skills

Data analysis

Python

Data visualization

Machine learning

Statistical analysis

Education

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics

Tools

ETL frameworks

Snowflake

AWS

GCP

Azure

Job description

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

Commcise is seeking an experienced and passionate individual to join our team to:

build-out new Data Products

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’re 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.

The role entails:

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

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

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.

Additional Information

This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.

Euronext is the leading pan-European market infrastructure, connecting European economies to global capital markets, to accelerate innovation and sustainable growth. It operates regulated exchanges in Belgium, France, Ireland, Italy, the Netherlands, Norway and Portugal. With close to 1,930 listed issuers and around €6.3 trillion in market capitalisatio n as of end December 2022, it has an unmatched blue-chip franchise and a strong diverse domestic and international client base. Euronext operates regulated and transparent equity and derivatives markets, one of Europe’s leading electronic fixed income trading markets and is the largest centre for debt and funds listings in the world. Its total product offering includes Equities, FX, Exchange Traded Funds, Warrants & Certificates, Bonds, Derivatives, Commodities and Indices. The Group provides a multi-asset clearing house through Euronext Clearing, and custody and settlement services through Euronext Securities central securities depositories in Denmark, Italy, Norway and Portugal. Euronext also leverages its expertise in running markets by providing technology and managed services to third parties. In addition to its main regulated market, it also operates a number of junior markets, simplifying access to listing for SMEs.