Quantitative Researcher

Nitorenergy; Aarhus; On-site; DKK 447,761 - 597,015; Full time

Benefits offered by this job

Competitive salary package

Dynamic work environment

Social activities and team events

Lunch arrangements in-house

Access to new office facilities

Job summary

Nitorenergy in Aarhus is seeking an experienced Quantitative Researcher to develop and enhance algorithmic trading strategies for the energy market. This role involves collaborating closely with traders and developing quantitative solutions that impact trading results directly.

The ideal candidate will have a Master’s or PhD in a quantitative field, with strong programming skills in Python, C++, or C#. Nitorenergy offers a competitive salary and a vibrant workplace culture with ample opportunities for personal and professional growth.

Qualifications

• Master’s or PhD in a quantitative field such as Computer Science, Mathematics, or Physics.
• Experience with algorithmic trading systems and high-performance applications.
• Strong software engineering skills in relevant languages.

Responsibilities

• Design and deploy algorithmic trading strategies in collaboration with traders.
• Backtest and validate strategies for performance assessment.
• Optimize trading performance and reliability.

Skills

Algorithmic trading

Quantitative analytical skills

Software development in Python, C++, C#

Education

Master’s or PhD in a quantitative field

Job description

Are you an experienced developer with a strong interest in algorithmic trading, quantitative systems, and high-performance software development? Does building and improving trading algorithms in the energy market sound exciting to you? Then you might be our new Quantitative Researcher.

As part of Nitor’s algorithmic trading team, you’ll work with developing and refining our algorithmic trading strategies and framework. Working closely with experienced quants and our Head of Algorithmic Solutions, you’ll help drive ideas from research to production and contribute to robust, high-performing trading solutions.

The algorithmic trading team is a small and driven team responsible for automated trading strategies at Nitor. We focus on automating strategies for traders as well as developing our own autonomous trading strategies. We’re looking for a driven developer with a strong quantitative mindset and a high execution drive to join us.

You’ll work across the full algo stack – from strategy development and backtesting to execution and performance optimization – always close to the market and with direct impact on trading results. You’ll join a highly specialized environment where ideas move quickly from research to production, and where developers work closely with traders and live market decisions.

Your responsibilities will include

• Design, implement, and deploy algorithmic trading strategies in close collaboration with traders and quants
• Backtest, analyze, and validate strategies to assess performance and robustness
• Optimize execution, performance, and reliability of our live trading setup
• Contribute to the development of tools and infrastructure supporting strategy research and live trading
• Apply quantitative methods and data-driven approaches to improve trading performance
• Maintain and improve our internal framework for strategy development, testing, and monitoring
• Contribute to code quality and best practices across the team
• Stay up to date on market trends, trading techniques, and relevant technologies

What we’re looking for

• A Master’s or PhD in a quantitative field such as Computer Science, Mathematics, Physics, or similar
• Experience working with algorithmic trading systems, quantitative strategies, or high-performance applications
• Strong software engineering skills and experience developing efficient, reliable, and production-ready solutions in Python, C++, and/or C#
• Strong analytical and problem-solving skills combined with a high execution drive
• Ability to take ownership and drive solutions from idea to production
• Interest in financial markets and trading, with curiosity for how quantitative strategies perform in live environments
• Experience with algorithmic trading in continuous markets, market making, machine learning on tick data, or energy trading is highly relevant for the role

What we offer

• A young, dynamic, ambitious and fun work environment
• Extensive opportunities for personal development and career growth. You will be given responsibility from day one and receive close sparring with other experienced colleagues
• The opportunity to contribute and make your mark on the team’s development
• A competitive salary package
• A fun and social work environment with regular team events and social activities throughout the year. We also offer weekly sports activities to strengthen team spirit, including our Nitor running club.
• Delicious lunch arrangement with food from Meyers in our own canteen
• Brand new office facilities located in the heart of Aarhus, right next to Dokk1 and Letbanen

Please note that we review applications on a rolling basis and may close the position early if we find the right candidate.

About Nitor Energy

Nitor Energy is a fast-growing energy trading company, that has swiftly transitioned from start-up to scale-up within just a few years. We’re experiencing rapid growth, offering limitless opportunities for learning and development. We’re proud of who we are and excited about what we’re building for the future together. Our employees thrive on challenges and are motivated by the potential that lies ahead.

Our unique culture integrates traders, coders, and analysts into cohesive teams, creating a well-rounded approach to our success. We believe in a balanced work-life dynamic and foster a vibrant, engaging atmosphere where our employees can excel in every aspect.

Head of Algorithmic Solutions
[e-mail]