Description

Application Process

We can only accept applications via emailing cover letter and CV as an attachment to [email protected]

Role Summary

An opportunity for an enthusiastic and talented mid-level quant developer to join Mesarete Capital, a London-based Emerging Market Credit Investment Manager, and help develop and maintain the company's technical infrastructure. Whilst the initial work is likely to focus on investment team tools and be supervised by our QA, the role is cross business. You will formally report to the COO and are expected to quickly become the go to person for all technical matters across Mesarete, helping the non-investment team with their own development requirements (often more leadership/guidance to support the empowerment to build things themselves), along with assisting with our portfolio management system and other matters that come along. We are looking for a good all-rounder with a collaborative and pro-active mindset, someone that understands the needs of the business and can be productive.

Company Overview

Mesarete Capital is a discretionary investment management firm launched in 2021, with a team of 23, primarily based in London and 3 team members in the US.

Key Responsibilities

• Develop and maintain ETL pipeline
• Incorporate new datasets
• Build tools to interrogate and visualize data
• Extend existing libraries and build APIs
• Provide technical support across business teams

Required Qualifications and Experience

• Strong Python programming skills
• Experience with data science libraries (pandas, numpy, statsmodels)
• Object-oriented programming knowledge
• SQL and database architecture understanding
• GitHub version control proficiency
• Mathematical and statistical concepts knowledge

Educated to at least degree level in a STEM subject

At least 3 full years financial services applied QD experience

Preferred Qualifications

• Data visualization tools experience (seaborn, matplotlib, plotly)
• Web visualization tools knowledge (Flask, Dash, D3, JavaScript, React)
• Machine learning and AI technologies experience
• LLM API or local LLM instance experience

Location & Work Mode

Office-based role located in central London on Golden Square