Description
Who we are:
We’re a pan-European digital wealth manager with 50,000 active investors (growing fast!) and over £1.2 billion invested on our platform. With 130+ people across 4 offices in Italy, Germany and the UK, we’re supported and funded by Poste Italiane, Cabot Square Capital and Allianz.
We started in 2011 in Milan with a simple vision - to help more people improve their financial well-being by making personal investing straightforward and accessible through technology. Fast forward a few years, and we’re known as one of the most innovative fintechs headquartered in the heart of London.
Mission:
To provide investment solutions and advice to protect and grow client wealth through time.
Our core values
We’ve built our business on three Principles:
- Relationships are our first assetWe’re one team, built on trust, honesty and transparency. We value our relationships above all else.
- Trust drives successWe give each other the space to grow. We empower our employees to succeed, so they can make a real impact.
- Our customers dream big, just like usWe see the bigger picture and we make sure our customers see it, too. We’re always focused on the best outcomes for our clients and for each other, no matter what the goal, or how big the dream.
What this means in practice:
At Moneyfarm, diversity is the foundation of our competitive advantage. We value our employees for who they are – their backgrounds, experiences, talents, knowledge and individual differences. This is what makes us better at what we do. To accommodate our different needs and commitments, we offer flexible working to all. Our individual impact and output is what counts most.
We are looking for a quantitative analyst to join our Asset Allocation team.
Responsibilities:
- Performing quantitative analysis on a range of macro and financial data.
- Participating in investment debates and making portfolio recommendations based on their analysis of macroeconomic and financial markets time series.
Qualifications
Essential:
- Strong quantitative skills, including time series analysis, financial modeling etc.
- A background in programming (ideally python).
- Strong written skills.
- Intellectual curiosity and constant learner.
- Proficiency in excel.
Good to have:
Exposure to at least basic Machine Learning models.
CLOSED VACANCY
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