Quantitative Developer

Low Carbon Contracts Company; West Yorkshire, Birmingham; Hybrid; GBP 55,000; Full time

Job summary

Ein innovatives Unternehmen sucht einen Quantitative Developer, der eine Schlüsselrolle in der Entwicklung und Wartung von Vorhersagemodellen spielt. In dieser spannenden Position werden Sie eng mit Analysten zusammenarbeiten, um Anforderungen zu sammeln und Projekte von der Konzeption bis zur Implementierung zu steuern. Ihre Expertise in objektorientierter Softwareentwicklung, quantitativer Modellierung und Datenanalyse ist entscheidend für die Optimierung der Modelle, die unsere Cashflow- und Preisbildungsmaschinen unterstützen. Wenn Sie eine Leidenschaft für technische Herausforderungen haben und komplexe Konzepte klar kommunizieren können, ist dies die perfekte Gelegenheit für Sie.

Benefits

Leistungsbonus bis zu 10%

25 Tage Jahresurlaub plus Feiertage

Bis zu 8% Pensionsbeitrag

Unterstützung für relevante Schulungen

Mitarbeiterempfehlungsprogramme

Familienfreundliche Richtlinien

Vertrauliche Mitarbeiterhilfe

Bezahlte Freiwilligentage

Fahrkartenkredite

Rabatte auf Freizeitaktivitäten

Qualifications

• Mindestens 2 Jahre Erfahrung in der Python-Entwicklung.
• Starke Kenntnisse in objektorientierter Programmierung und Datenanalyse.

Responsibilities

• Entwicklung und Wartung von Energiemodellen gemäß den besten Praktiken.
• Zusammenarbeit mit Analysten zur Anforderungsanalyse und Projektgestaltung.

Skills

Python Entwicklung

NumPy

pandas

SciPy

PySpark

Objektorientierte Programmierung

Cloud Plattformen

Maschinenlernen

Datenanalyse

Parallel Computing

Education

Abschluss in einem zahlenbasierten Fach

Tools

Jira

GitLab

Azure

AWS

GCP

Job description

Quantitative Developer

Department: Analytics

Employment Type: Permanent

Location: Birmingham/Leeds

Reporting To: Quantitative Development Manager

Compensation: circa £55k

Description

Contract type: Permanent
Hours: Full Time, 37.5 hours per week

Salary: circa £55,000 depending on experience

Location: Canary Wharf

WFH policy: Employees are required to attend the office 2 days/week

Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight.

Reports to: Quantitative Development Manager
Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications.

Role Summary:

As a Quantitative Developer, you will play a critical role in designing, developing, and maintaining our scheme forecasting models and analytical tools, as well as publishing supporting technical documentation. You will collaborate closely with analysts and stakeholders to gather requirements and drive projects from inception to deployment. Your expertise in object-oriented software engineering, quantitative modelling, cloud computing, and data analysis will be essential in enhancing the models that underpin our cashflow and pricing engines. You will also conduct ad-hoc analysis and scenario testing to evaluate energy market robustness within our frameworks.

The ideal candidate will have a strong understanding of energy market fundamentals combined with advanced algorithm development and optimisation skills. They should approach complex challenges with urgency and enthusiasm, communicating insights clearly and succinctly. Adaptability, curiosity, and a willingness to learn new technologies and approaches are crucial traits for success in this role.

Key Responsibilities

• Design and build energy models aligned with best practices in software engineering
• Manage, test, and deploy updates and bug fixes to models, tracking tasks in Jira and GitLab
• Collaborate with analysts to gather requirements, design tests, and scope new projects
• Create and maintain technical documentation
• Explore and clean datasets for modeling, optimizing data pipelines
• Identify and streamline inefficient processes
• Prepare and present visual materials to communicate software design and model logic to non-technical stakeholders

Skills, Knowledge, and Expertise

• A degree in a highly numerate subject is essential
• At least 2 years of Python development experience, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark)
• Strong understanding of object-oriented design principles for usability and maintainability
• Experience with Git in a version-controlled environment
• Knowledge of parallel computing techniques (Python multiprocessing, Apache Spark) and performance optimization
• Understanding of data structures and algorithms
• Problem-solving mindset with enthusiasm for tackling technical challenges
• Ability to communicate complex technical concepts effectively to non-technical audiences
• Experience with cloud platforms (Azure, AWS, GCP) is desirable
• Experience with Machine Learning libraries (scikit-learn, PyTorch) and statistical techniques is desirable
• Knowledge of the electricity market is desirable

Employee Benefits

We offer a comprehensive benefits package, including:

• Performance bonus up to 10%
• 25 days annual leave plus bank holidays
• Up to 8% pension contribution
• Support for relevant training and professional memberships
• Employee referral and recognition schemes
• Family-friendly policies, including enhanced maternity and shared parental leave
• Confidential employee assistance programs
• Paid volunteering days
• Season ticket loan and cycle schemes
• Discounts on days out, memberships, and retailers
• Employee resource groups