SENIOR DATA YST

Senior Data Analyst About the Company A highly sophisticated quantitative hedge fund is offering a unique opportunity for a SeniorData Analyst to join their dynamic team.
The company specializes in automating investmentdecisions based on deep business fundamentals driving significant financial impact throughcuttingedge data science machine learning and robust engineering practices.
This is aperfect opportunity for someone passionate about equity investing and eager to work in ahighperformance environment.
About the Project As a Senior Data Analyst you will be at the forefront of managing and enhancing alargescale data pipeline that powers advanced equity analysis.
You will play a critical role infeeding models with thousands of features directly impacting the automation of investmentdecisions.
This is an exciting opportunity to work with complex data ensure its quality anddevelop innovative solutions to integrate new data sources.
Your contributions will shape thefuture of investing for the firm.
Team You will be joining a small closeknit team of driven data scientists engineers and portfoliomanagers all focused on pushing the boundaries of quantitative investing.
With the potentialfor leadership growth you will start as a peer to the current data engineer and have theopportunity to advance into a leadership position based on performance.
You will reportdirectly to the head of the team with visibility at the highest levels of the organization.
Tech Stack Python Snowflake (or other modern columnar databases) Airflow DBT AWS (especially S3 and Athena) Tableau (or similar Business Intelligence tools) This tech stack offers an opportunity to work with cuttingedge technologies that are integralto the investment process allowing you to continuously learn and expand your technicalexpertise.
Tasks Manage and optimize a sophisticated data pipeline ensuring seamless data flowacross various environments for equity analysis.
Integrate new and diverse data sources to enhance the firm's trading models.
Collaborate with data scientists engineers and portfolio managers to support highimpact business decisions.
Develop and maintain a Tableau Business Intelligence Reporting system to deliver critical insights on P&L exposure and risk factors.
Support the data science and machine learning teams in building and deploying models that automate investment decisions.
This role offers the chance to make a real impact by contributing to a system that handlesmillions of dollars in transactions daily.
Requirements/Expectations Strong foundation in data warehouse principles.
5 years of experience as a Data Analyst with handson work in managing large data systems.
Expertise in Python Snowflake Airflow DBT and AWS.
Experience with BI tools like Tableau or similar.
Knowledge of software engineering practices (Git pull requests continuous integration).
Excellent communication skills in English.
Experience in financial services particularly equity investing is highly valued.
This position provides an exceptional opportunity to bring your expertise into a rapidlygrowing datadriven organization and to expand your financial domain knowledge whileworking on a highimpact project.
Responsibilities Maintain and improve the data pipeline that fuels the investment models.
Troubleshoot and solve complex data issues.
Collaborate on strategic business decisions by providing valuable data insights.
Ensure data quality and consistency with attention to business relevance and accuracy.
Drive the integration of new data sources and support the evolution of the system.
Your work will be pivotal to the success of the team and the company with opportunities forgrowth based on leadership and technical contributions.
Terms Location.
Remote with work hours overlapping between 1.
PM – 6.
PM CET.
Flexibility is available as long as core hours are met.
Bonuses.
Performancebased bonuses are available.
Salary Reviews.
Annual reviews of salary.
This is a flexible remote role with the potential to grow your career in a fastmovinginnovative quantitative hedge fund.
Hiring Process 1.
Resume review.
2.
Test problem evaluation.
.
Interviews (23 stages).
4.
Total hiring process duration.
34 weeks.
The hiring process is designed to assess both technical and problemsolving skills ensuringa strong match with the team.
The company is committed to finding the right candidate who can make an immediate impact.
Skills Trading, Business Intelligence, Insight, Machine Learning, Pivotal, Problem-solving Skill, Flexible, Python, Leadership, Excel, Communication Skill, Hiring