About Us:

Factorise is a pre-seed stage AI Fintech startup.

We are an innovative fintech startup on a mission to democratize investment knowledge and tools through our AI-powered chatbot, learning platform, and interactive community. We blend cutting-edge technology with deep industry insights to empower investors of all levels. You will primarily work on our learning platform focused on delivering comprehensive financial education through a multidisciplinary cross silo approach. Our mission is to equip learners with the tools and knowledge needed to navigate the complexities of the financial world. One of our features is leveraging insights from various fields such as physics, biology, sociology, and more. This means enabling the user to acces mental models and knowledge across disciplines with the purpose of upgrading investment strategies, learning and action.

Our Progress:

We have achieved significant milestones, including our chatbot is live for internal test use and demo investor purpose both locally through Docker and in a cloud solution. We've built an AWS cloud setup with the following components: Backend: NestJS microservices on AWS Fargate. Frontend: Next.js on AWS Amplify. Message Broker: RabbitMQ on Amazon MQ. Database: MongoDB.  API Gateway: AWS API Gateway. Our ML/AI is integrated both in the cloud and locally same as our RAG system. We've enriched our chatbot capabilities and carried out comprehensive API development. Our product designs are complete for some aspects and being further developed on other features, and we are conducting innovative R&D to transform investment knowledge. We've engaged in extensive user research, userbility testing, competitor analysis, product positioning and built a strong and motivated team, and established early industry partnerships.

We have a demand driven approach to pre-Product-Market-Fit (pre-PMF) phase. We have investor meetings scheduled and are currently updating business and project management documentation in addition to integration of core product features. 

As we are now ramping up our product development for the learning platform we need a dedicated engineer and product owner intern to help with both data aquisition and product development.

Key Responsibilities:

We are looking for a motivated and detail-oriented person. This role will involve working closely with our CEO and engineering team to help define and develop an investment education product that is built on a novel approach and tech.

Data Acquisition and Integration:

• Source and acquire data from various repositories, databases, APIs, and web sources.

• Develop and maintain data pipelines to ensure smooth extraction, transformation, and loading (ETL) of data into our storage solutions.

• Implement data compliant techniques and collaborations to gather data where APIs are unavailable, ensuring data is clean, structured, and ready for use.

Product Development Support:

• Collaborate with the CEO to define the product's data structure and how collected data and knowledge will be organized within the learning platform.

• Assist in developing new models and strategies for financial learning, incorporating principles from various disciplines such as physics, biology, sociology, and more.

• Work with the engineering team to ensure that the data infrastructure supports the platform’s learning models and content delivery.

Documentation and Communication:

• Document the data acquisition processes and the integration methods used to ensure replicability and scalability.

• Communicate effectively with the team to ensure that data needs and product requirements are clearly understood and met.

Technical Innovation:

•  Explore and implement innovative data solutions that align with the CEO's vision for new ways of learning, prediction, and strategizing in financial education.

• Contribute to the design of data-driven tools and models that enhance the user learning experience.

Qualifications:

Educational Background:

• Pursuing or recently completed a degree in Physics, Mathematics, Data Science, Financial Modeling, Data Engineering, or a related field.

Technical Skills:

• Experience with programming languages such as Python, SQL, or R.

• Familiarity with ETL tools and processes, and experience in data aquisition

• Knowledge of APIs, data integration techniques, and working with SQL/NoSQL databases.

• Understanding of data warehousing and cloud-based data storage solutions (e.g., AWS, Google Cloud, Azure).

Preferred Qualifications:

• Using reasoning from first principles - we will teach you this approach to problem solving

• Understanding of financial models and principles, even if you lack direct finance experience.

• Exposure to machine learning models or algorithms is a plus.

• Ability to handle large datasets and work with unstructured data.

Personal Attributes:

• You need to be a self starter, that can keep motivation and pace in a remote setup

• Strong analytical and problem-solving skills.

• Excellent communication skills and ability to work collaboratively with a cross-functional team.

• Highly motivated and driven to contribute to a dynamic and innovative learning platform.

About you

You can be a student, more experienced and in between projects, and/or wanting in on an exciting opportunity, while you are working your regular job. 

It’s crucial that you have the mindset of a problem solver and are excited about contributing in a startup setting. You need to be able to work remote and independently between team collaborations.

We look at your competences and personality. What matters is your contributions to the mission and ability to work with the CEO and team.

The Team

The team will support you with resources, learning and experience. There will be room for you to develop and grow.

The team have distinct results, experience and achievements in AI, Cloud, Learning and Software Development. This includes technology leadership, learning, knowledge production, education, user centricity and visionary leadership. In addition to a funding track-record and project management optmization.

We are part of the Copenhagen Fintech Community and varoius other networks. You have the opportunity to leverage network resources and meet with a variety of entrepreneurial people.

Check out my LinkedIn profile and connect or follow for more: www.linkedin.com/in/peter-nørgaard-04773167.

What We Offer:

•  Hands-on experience in a fast-paced, entrepreneurial environment.

• Opportunity to work on a unique product that blends financial education with multidisciplinary learning approaches.

• Mentorship and guidance from experienced professionals in the fields of data engineering, financial modeling, and product development.

• Potential for a full-time role, if funded and you deliver results, upon successful completion of the internship.

How to Apply:

If you are passionate about data & AI, eager to learn and create, and excited about the intersection of technology, education, and finance, we encourage you to apply.

Why Join Us?

• Collaborate in a culture that values creativity and continuous learning.

• Be a part of an innovative team aiming to change the investment domain.

• Enjoy the flexibility of remote work.

• Build your portfolio, get access to great use case, gain experience, create a network.

• Improve your professional trajectory.

• Hands-On Experience: Gain practical experience in a novel, complex and experimental startup environment.

• Direct Mentorship: Work closely with the CEO and be involved in high-level strategic discussions.

• Growth Opportunities: Opportunity to shape the digital narrative of an emerging fintech company.

• You get the advantage to get in early in an AI startup. This means opportunity for you – if you are excellent at the job.

• Flexible Working Hours: Enjoy a flexible work schedule in a remote setup.

The job is unpaid and without equity for now, but when we get funded, you will have a chance to apply and negotiate for a paid position. You will need to sign an NDA. 

We will make the contract for 3-6 months with a 14-day trial period. Hours a week will depend upon individual agreement, but there will be a lower limit, for you to be able to deliver the results needed.

Please send your resume and a portfolio showcasing your best projects.

We're excited to review your application and potentially welcome you to our team, where together we'll build something truly impactful in the investment space!