Since launching in 1989, CMC Markets (CMC) has become one of the world's leading online financial trading businesses. CMC is listed on the London Stock Exchanges and serves retail and institutional clients through regulated offices and branches in 13 countries.

This role will be part of Opto, an exciting internal start-up wholly owned by CMC. Launched in the USA just six months ago, Opto stands out with its unique offering: 'Folios'—self-directed funds with automated rebalancing. These funds are designed to help investors stay disciplined and diversified, aligning with our mission of empowering individuals to invest successfully. If you're passionate about making a meaningful impact in the investment world and contributing to a fast-growing, innovative venture, Opto is the place for you.

ROLE AND RESPONSIBILITIES

As aQuantitative Developerat Opto, you will be responsible for developing and implementing sophisticated algorithms for our robo-advisory services. You will play a key role in building and refining models that support portfolio management, stock scoring, and financial analytics. Your primary focus will be on:

Algorithm Development: Design and develop quantitative models for robo-advisory services, incorporating risk management, asset allocation, and portfolio optimisation strategies.

Stock Scoring Models: Create advanced scoring models to analyse stock performance, utilizing large datasets and machine learning techniques.

Integration of LLMs: Explore and integrate Large Language Models (LLMs) where applicable to enhance financial predictions and analysis.

Data Management: Handle large-scale financial data for algorithm development, including data cleansing, feature extraction, and model validation.

Back testing and Validation: Perform back testing of strategies to ensure robustness and reliability in real-world trading environments.

Collaboration: Work closely with data scientists, portfolio managers, and software engineers to deploy models in production.

Continuous Learning: Stay updated with the latest advancements in financial engineering, machine learning, and artificial intelligence to ensure our models remain competitive.

Documentation and Reporting: Prepare detailed documentation of models, methodologies, and performance metrics, ensuring transparency and auditability.

KEY SKILLS AND EXPERIENCE

Experience:5+ years of experience in quantitative development, preferably within the financial services industry.

Technical Expertise:Strong proficiency in Python, with experience in data analysis libraries like Pandas, NumPy, and machine learning frameworks such as TensorFlow or PyTorch.

Mathematical Rigor:In-depth knowledge of quantitative finance, including stochastic calculus, optimization, and statistical modelling.

AI and LLMs:Experience with natural language processing (NLP) and working knowledge of Large Language Models such as GPT to enhance financial data analysis.

Financial Market Knowledge:A strong understanding of equity markets, derivatives, and portfolio theory.

Analytical Skills:Excellent problem-solving skills with the ability to design algorithms that are efficient and scalable.

Communication:Strong written and verbal communication skills to convey complex quantitative concepts to non-technical stakeholders.

Attention to Detail:A high level of attention to detail and a commitment to maintaining the accuracy and reliability of the models.