Quantitative Researcher - Stock Intelligence

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in today’s digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.  

In 2021, we went public on the New York Stock Exchange, and we haven’t stopped growing since!   

We’re looking for a Quantitative Researcher to join our Stock Intelligence team. This team specializes in delivering unique data insights on publicly traded companies, catering to the needs of the world's top hedge funds.
As a Data Scientist, you will collaborate with our Investors Team Manager within the Research and Development (R&D) department.

Why is this role so important at Similarweb?
At Similarweb, data lies at the heart of everything we do. Our AI and machine learning capabilities are pivotal to our success, making this role crucial in driving innovation and delivering value to our customers. The Stock Intelligence team plays a vital role in creating actionable metrics for the financial industry, contributing significantly to our company's mission and impact.As a data scientist on the team, you will be using our proprietary raw data and products of other data teams to develop models of digital signals with strong relevance to the financials of publicly traded companies, usually businesses that rely heavily on their digital footprint. With domain expertise in the financial realm, you will suggest and explore new data sources and implement new features and bring them to production with the support of data engineers.

So, what will you be doing all day?
Your role as part of the R&D department, and as part of the investors team means your daily responsibilities may include:
●   Utilize proprietary raw data and products from various data teams to develop models of digital signals relevant to the financial performance of publicly traded companies.
●   Leverage domain expertise in the financial realm to identify and explore new data sources, ensuring the continuous improvement and relevance of our insights.
●   Develop forecast models using advanced statistical techniques and machine learning algorithms to predict key performance indicators (KPIs) for publicly traded companies. Providing valuable insights into the digital strategies and performance of these companies.
●   Collaborate with data engineers to implement new features and deploy models into production environments.
●   Conduct thorough analyses to uncover actionable insights and trends within the data, providing valuable recommendations to stakeholders.
●   Stay updated on industry trends, research advancements, and best practices in data science, forecasting and predictive modeling, continuously improving methodologies and techniques.
●   Conduct thorough validation and testing of models to ensure accuracy, reliability, and scalability.
●   Communicate findings and recommendations effectively to both technical and non-technical stakeholders, guiding strategic decision-making and driving business impact.

This is the perfect job for someone who:

1. Prior experience in building financial predictive models, backtesting and forecasting - Must
2. Has 2+ years of experience with statistical and machine learning tools - Python, R, etc - Required
3. Holds a B.Sc. in Computer Science/Mathematics/Physics or any other relevant field - Required
4. Background in Financial tech/Economy - Required
5. Familiarity with SQL
6. M.Sc. in Computer Science/Mathematics/Physics or any other relevant field - Advantage

Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. 

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.