Founding Machine Learning Researcher, Synthera AI

Salary not provided

Plus Equity

Python

NumPy

Pandas

PyTorch

Junior, Mid, Senior and Expert level

London

More information about location

Generative AI simulations and analysis of financial markets

Be an early applicant

Generative AI simulations and analysis of financial markets

1-20 employees

FintechB2BArtificial IntelligenceDeep TechSaaS

Be an early applicant

Salary not provided

Plus Equity

Python

NumPy

Pandas

PyTorch

Junior, Mid, Senior and Expert level

London

More information about location

1-20 employees

FintechB2BArtificial IntelligenceDeep TechSaaS

Company mission

To generate synthetic yield curves, equities, FX prices and more, so professional investors can test their portfolios on thousands of realistic but unseen market scenarios using cutting edge generative AI.

Job

Company

Role

Who you are

2yrs+ of experience in deep learning, either in capital markets or in image generation (GANs). In lieu of experience, a strong academic background in deep learning and capital markets is also acceptable. Bonus if you’ve worked on time-series.
Expertise in DL frameworks and tooling (e.g., PyTorch, MLflow, etc.)
Strong proficiency in Python

Desirable

Ideally experience in developing and deploying deep learning models

What the job involves

Designing, developing, and implementing machine learning models in alignment with product roadmap
Identifying new methodologies to broaden the scope and capabilities of our machine learning models
Supporting in quantitative research and analysis, including the development of algorithms and backtesting frameworks
Contributing to the overall development of the product
Refining methodologies, addressing technical challenges, and ensuring the performance of our machine learning models
Ad-hoc support on related technical areas as reasonably required, within the scope of machine learning, quantitative finance, and product development

Salary benchmarks

Our take

Data overfit is an AI error in which machine learning models learn training data too well and incorporate the “background noise”. For financial market forecasting, overfitting can fail to account for dynamic market changes and risks missing subtle links between data, especially investor risk exposure.

Synthera AI is changing the way that AI approaches financial market forecasting. It generates synthetic market data that makes predictive AI more agile in the face of rare events and changes. In short, Synthera is training AI to be more prepared for volatile market situations, shedding the limited parameters of traditional market forecasting AI.

It’s a novel idea, especially at a time of worldwide unpredictability in the financial market. Synthera AI has enjoyed impressive early funding, which it is using to expand its engineering team and further develop its product.

Steph

Company Specialist at Welcome to the Jungle

Company

Company HQ

Mayfair, London, UK

Leadership

Mariana Barona

(Co-Founder)

Previously Founder in Residence at Entrepreneur First, Asset Management Analyst at Goldman Sachs and was a Finance Intern at Rappi.

Lukas Schreiner

(Co-Founder & CTO)

Previously Founder in Residence at Entrepreneur First, was a Quant Engineer at SwissQuant Group and was a Machine Learning Engineer at LeonTech.

Thomas French

(Founding Engineer)

Also an Advisor at Metiscope, Algomo and PropEco.

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