endorsedCompleted

Senior Python Data Engineer Hire for Algorithmic Trading Hedge Fund

Services Covered:

Staff Augmentation

Industry

Financial Services

Duration

6 months

Budget

Less than 10K

Start Date

1 August 2022

Team Size

1-5 Employees

Engagement Model

Onshore

Project Capability Score (PCS)

78/100

Good

Project Capability Score (PCS) estimates how capable Data Science UA is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Machine Factor Technologies

London, United Kingdom

Project Summary

Data Science UA provided backend software engineering support for a financial company, sourcing a Senior Python Data Engineer to process and store high-volume financial datasets and build ETL pipelines. The vendor delivered a candidate within the client's budget and demonstrated proactive communication, a strong culture fit, and enthusiasm. The client (an algorithmic trading hedge fund) relied on the hire to support real-time trading implementation and R&D preprocessing.

Key Challenges

Find Backend Software Engineer

Project Deliverables

Processing and storing high-volume financial datasets.
Creating ETL pipelines using AWS/internal tools.
Preprocessing data for research and development.
Contributing to real-time trading implementation.
Implementing trading models hyper-parameters optimisation pipelines.

Project Solution

Data Science UA sourced and recommended a Senior Python Data Engineer via referral and company recruitment. They recruited a candidate who met hard requirements (3+ years Python, proficiency with Pandas and NumPy, and strong data-pipeline knowledge) and placed them to handle processing and storing high-volume financial datasets, create ETL pipelines using AWS/internal tools, preprocess data for R&D, contribute to real-time trading implementation, and implement hyper-parameter optimization pipelines for trading models.

Project Outcome

Hired a Senior Python Data Engineer within budget.
Received proactive communication and a candidate who was a strong professional and cultural fit.

Platforms

Cloud

Tech Stack

Python
Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

4.75

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Data Science UA provided top-notch development support that satisfied the client's needs. They were proactive in finding a developer with the right skillset for the project and aligned with the client's company culture. They impressed with their exceptional communication skills and enthusiasm.”
Oleksandr Proskurin
CEO
Date: 03/10/2023