Variant Perception is a leading investment tools company that offers an intuitive investment portal with tools and analysis to speed up the investment process. Backed by more than a decade of R&D and the latest quantitative techniques, Variant Percepti...
This job post is closed and the position is probably filled. Please do not apply. Work for Variant Perception and want to re-open this job? Use the edit link in the email when you posted the job!
UX Engineer with a Passion for Investing
Variant Perception is a small investment team creating research and insights for sophisticated investors. We are known for building predictive models with innovative techniques. Our investment process is based on first principles thinking with empirical verification. We study history to understand how financial markets work and build systematic models using these insights.
We are looking for a UX Engineer to perfect our user interface. We need someone who can empathise with investors, understand their ideal workflow, and implement improvements: from UI components to cloud functions. Formal experience in finance is helpful but a passion for investing is key.
Your role on the team
You will begin by implementing features and improvements relating to user preferences, recommendations, and user interactions. Our โresearch portalโ is implemented in Typescript, Nextjs, and uses Firebase/GCP services extensively.
You will have a critical influence on style and design. Good design means usability, simplicity, and elegance. Investing is already hard enough. We want to remove cognitive load from users and create intuitive interactions that provide them with actionable insights.
Our quant team builds dashboards and web apps that cater to specific investor needs. The apps are embedded in the research portal. You will help design and productionize these apps.
Our end goal is to build natural language interfaces for our data, charts, and research insights. You will be a key contributor to this effort, alongside our data engineering team.
Ultimately, we want someone entrepreneurial to take ownership of the client facing product and help us build a better investing platform.
Are you a good fit?
You care deeply about user experience. You want to leverage technology to create happy and productive users.
You must believe it's possible to build predictive models for markets. If you believe in efficient markets, you will not like this job or our mission.
We have big goals for our team and rely on each other to achieve them. To be successful at VP you must be self-motivated, have trust in teammates, be forgiving of mistakes, be open-minded and above all enjoy figuring out problems, often from scratch.
To build the best platform we must experiment with new ideas and technologies. You should enjoy continuous learning.
Location
Our team is fully remote, with in-person offsites twice a year.
Please mention the word COVENANT when applying to show you read the job post completely (#RMy4xMzguMTM4LjE0NA==). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$110,000 — $150,000/year
Benefits
๐ Distributed team
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Variant Perception and want to re-open this job? Use the edit link in the email when you posted the job!
Data Engineer with a Passion for Financial Markets
Variant Perception is a small investment research team working with sophisticated investors, asset managers and funds. We are passionate about markets and looking for a data engineer to help us scale our models and capabilities. Formal experience in finance is helpful, but a passion for investing is key.
We are known for using innovative analysis to build predictive models. Our investment process is based on first principles thinking with empirical verification. We study history to understand how markets and economies work, and use a variety of data to build systematic models using these insights. This allows our small team to cover many markets and asset classes.
Your role on the team
We have many investment models that span time-horizons and asset classes. We use Prefect for model & job orchestration and use GCP as our cloud provider. Experience with these or similar tools is preferable. (GCP, AWS, Azure, Kubernetes, Prefect, Airflow, etc)
As our models have grown in number, so has our data. We need someone who can architect and manage the data infrastructure. This includes helping the quant team with ingesting and structuring datasets, and removing bottlenecks in existing workflows. We currently use Snowflake but would like to experiment with moving our data to BigQuery. Experience with SQL, Snowflake, BigQuery and general DB administration is preferable.
We have built a proof-of-concept data api to allow clients to use our data in their investment decisions and strategies. Expanding the api capabilities and performance is one of the first projects you would work on with an immediate impact on the business.
Ultimately we want to utilize recent LLM breakthroughs to build a natural language interface to our APIs for data, charts and research. We are looking for someone with experience or an interest to learn about RAG based LLM models.
As our investment R&D grows we want to ingest more datasets that can help us understand what is happening in economies, beyond the traditional financial and econometric data. We need someone to help orchestrate the ingestion, but also use methods to gather unstructured data and find meaning. Again, an interest in ML is a bonus.
Are you a good fit?
You must believe it's possible to build predictive models for markets. If you believe in efficient markets you will not like this job.
We have big goals for our team and rely on each other to achieve them. To be successful at VP you must be self-motivated, have trust in teammates, be forgiving of mistakes, be open-minded and above all enjoy figuring out problems, often from scratch.
There are many ideas we want to explore, each requiring new skills. You should enjoy continuous learning.
Location
Remote, but if you already live in New York, London or Charlotte, that's an added bonus.
Please mention the word GUTSY when applying to show you read the job post completely (#RMy4xMzguMTM4LjE0NA==). This is a feature to avoid fake spam applicants. Companies can search these words to find applicants that read this and instantly see they're human.
Salary and compensation
$110,000 — $150,000/year
Benefits
๐ Distributed team
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.