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Data engineer for wealth management firm

London
Galilei Investment Office
Wealth manager
€100,000 - €125,000 a year
Posted: 16 June
Offer description

Data Engineer for Wealth Management Firm

London, England, United Kingdom


Data Engineer for Wealth Management Firm

2 days ago Be among the first 25 applicants

Galilei Investment Office is an ambitious, dynamic, and innovative FCA regulated, and SEC registered (RIA) wealth management firm headquartered in London. The firm offers investment and portfolio management services to a small number of ultra-high net worth clients. Our core values and philosophy stand on three pillars:

* Investing with integrity and conviction
* Passion and commitment.

We are expanding the team and are looking for an individual who shares our values and ambitions.

Position

Data Engineer with competency in Investments and Middle/Back Office.

Location

Central London

Experience

* Programming and data analysis skills with competencies in machine learning. Python, SQL, Git and Rest API design/implementation experience required. Excel and PowerPoint proficiency.
* Experience building data extraction pipelines that connect with legacy platforms lacking APIs preferred.
* Working with LLM APIs to ingest and process unstructured data preferred.
* Knowledge of and experience with relational databases, ETL pipelines, and data analysis/visualisation tools (Pandas/Polars, Matplotlib) desirable.
* Experience building, implementing, and maintaining systems to improve operational efficiency.
* Working with Azure cloud infrastructure and Docker containers desirable.
* Working with IT systems and processes from an operational and front office perspective.

Qualifications

* Bachelor’s degree, preferably in (though not limited to) Finance, Mathematics, Statistics, Information Systems, Computer Science, Data Science or related subjects.
* Excellent analytical and problem-solving skills.
* Ability to develop creative solutions to problems constrained by financial regulation or restricted technological connectivity.
* Strong attention to detail and ability to produce high quality work. Excellent communication skills with the ability to work effectively with people at all levels.
* Flexible, high agency, self-motivated, and tenacious. Excellent organisational and prioritisation skills.
* Has a methodological consistent approach towards work processes and tasks.
* Experience and capability to develop, implement, improve, and document operational processes.
* Affinity and curiosity about financial markets and investment management.

Job Purpose

* To develop, implement and monitor automated solutions to streamline investment and operational processes:
* Design and deliver technology solutions and continuous improvements across data driven investment and operational processes.
* Develop solutions to democratise data access to the Investment and Operations Team.
* Support the Investment Team with data analysis and visualisation for portfolio management and risk functions as needed.
* Develop financial models for market analysis using data from Bloomberg and other sources, such as web scraping and private datasets.
* Maintain and expand data extraction and processing from Galilei’s portfolio management system (Expersoft).
* Develop data cleaning solutions for external reports to enhance compatibility with internal processes.
* Develop automated solutions to identify and flag data discrepancies in portfolio management software.
* Ad-hoc client and investment report preparation, including performance reconciliation.
* Coordinate with the IT service provider to host all software solutions in Galilei's Azure environment, ensuring service reliability, regulatory compliance, and data security.

Responsibilities

* Lead the design and development of software solutions to automate internal processes to streamline workflows on both operational and investment portions of the business.
* Document all processes and code implementations clearly and comprehensively for non-technical readers.
* Continue the development and maintenance of the data extraction pipeline from the Portfolio Management System (Expersoft).
* Maintain and enhance existing systems, with a focus on an internal database and API to enable democratised data querying.
* Ensure integrity of data inflow into Galilei’s portfolio management system by liaising with back-office team.
* Provide operational oversight and collaborate with the back-office team to ensure data accuracy in the PMS (Expersoft).
* Classification and mapping of securities to ensure positional alignment across accounts (Expersoft).
* Utilise the portfolio management and reporting system to its full capacity: create, implement, and enhance processes.
* Client reporting: prepare periodic and ad-hoc valuation and performance reports.
* Utilise new software (e.g. ChatGPT) and techniques to improve team productivity, e.g. automating creation of client presentations and investment research reports.
* Enhance and maintain system for tracking market sentiment and positioning.

Terms

Base salary: TBC per annum

Bonus: Discretionary

Hours of work: Full time (9am to 6pm) with 4 days a week in the office

Start Date: Immediate

Holidays: Pro rata of 25 days plus public holidays


Seniority level

* Seniority level

Entry level


Employment type

* Employment type

Full-time


Job function

* Job function

Information Technology
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