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Data Analyst
MDOTM
Milano
In loco
EUR 30.000 - 50.000
Tempo pieno
30 giorni fa

Descrizione del lavoro

A fast-growing fintech scaleup is seeking a Data Analyst in Milan. The role involves working on data analytics projects, collaborating with R&D and Mission Control teams, and requiring a strong background in AI, statistics, and Python. Ideal candidates should have a relevant advanced degree, experience in AI research, and be fluent in English. Benefits include flexible working policies and professional development opportunities.

Servizi

Flexible smart working policies
Annual retreat for the team
Professional development
Free coffee and snacks
Office kitchen and common spaces

Competenze

  • 1+ years of work experience in an industry, university, or government lab, with emphasis on AI research.
  • Fluent in English both spoken and written.

Mansioni

  • Work on data analytics projects using internal tools and Python scripts.
  • Research insights related to risk exposures and portfolio construction.
  • Produce clear summaries of research results.

Conoscenze

Statistical modeling
Machine learning
Python
Teamwork
Creativity
Problem solving

Formazione

Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics

Strumenti

SQL
JAVA
Spring framework
GIT
AWS
Apache Spark
Descrizione del lavoro

Location: Milan, London

We’re looking for an outstanding Data Analyst who can actively contribute to the operations of a fast growing fintech scaleup. It will involve challenging tasks, real technical projects and a day-to-day interaction with the rest of the team.

It is a unique opportunity to gain hands-on experience at the intersection between the AI space and the financial sector.

If you have a background rooted in finance, computer skills, are a self-starter, highly dependable and enjoy being part of a growing team, then we are looking for you!

Your tasks will include
  • Work directly both with our R&D division and with our Mission Control team on data analytics projects using our internal tools, spreadsheets and Python scripts for exploratory data analysis, modeling, visualization, performance evaluation and report generation
  • Research and deliver insights related to risk exposures, portfolio construction, and quantitative analysis of the investment process
  • Evaluating and interpreting the outputs of the models from an economic and financial point of view.
  • Producing clear written summaries of research results.
Skills required
  • Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields
  • 1+ years of work experience in a industry, university, or government lab, in a role with primary emphasis on AI research
  • Strong skills in statistical modeling and machine learning, especially techniques such as bagging, random forests, gradient boosting, hyperparameter optimization techniques, Bayesian models, neural networks, time series analysis, signal processing etc.
  • Relevant coding experience in programming languages such as Python (or equivalent)
  • Excellent teamwork skills are a must
  • Creativity and ability to formulate problems and solve them both in team and independently
  • Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines
  • Fluent in English both spoken and written
Bonus points
  • Knowledge of how financial markets work
  • Knowledge of JAVA and Spring framework
  • Proficiency in SQL
  • Knowledge of Version Control Systems (GIT)
  • Knowledge of AWS
  • Interest in Big Data tools and framework like Apache Spark
MDOTM Benefits
  • Flexible smart working policies
  • Annual retreat for the team in an awesome location
  • Professional development under the lead of a senior member
  • Free coffee and snacks
  • Office kitchen and common spaces
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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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