Data Product Developer

Euronext; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading company in financial services seeks a Data Product Developer to shape data-driven solutions. The role combines data science analysis with engineering to deliver innovative products, leveraging AI and large datasets. Ideal candidates will have significant experience in Python, data architectures, and machine learning, with a collaborative mindset in a fast-paced environment.

Qualifications

• Minimum of 3 years of hands-on experience in data product development.
• Proficiency in Python and ETL frameworks.
• Experience with machine learning techniques and libraries.

Responsibilities

• Diving into complex datasets to extract meaningful insights.
• Building predictive models for various applications.
• Working closely with the team to deliver data products.

Skills

Data Analysis

Python Coding

Statistical Analysis

Machine Learning

Data Visualization

Problem-Solving

Education

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

Tools

Snowflake

AWS

GCP

Azure

Job description

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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 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.