Python Job: Quantitative Analyst

Role overview

A Quantitative Analyst will be adept in using statistical analysis to develop sophisticated predictive models in areas such as sports modelling, risk management and automated trading strategies.

We use mathematics, classical statistics, and machine learning methods to provide automated solutions to scale and improve trading and risk management practices. This enables traders, risk managers and analysts to provide cutting edge solutions to customers.

Key Accountabilities and Responsibilities

· Develop new and existing predictive models to generate accurate pricing and effective risk management decisions.

· Display an expertise in quantitative analysis techniques and provide insightful viewpoints on a broad range of problems across the group.

· Implement real world applications of statistical models developed. Support from inception, development, delivery, and performance monitoring. Maintain an intricate understanding of the performance level of models that have previously been deployed.

· Be able to take a lead in their development, supervise and guide the work of colleagues ensuring work is executed accurately, efficiently and on schedule.

· Work with both a high degree of independence and collaboratively with stakeholders in areas such as Trading, Technology, and Data Engineering to solve a broad range of technical problems across the group. Bolster relationships- working with colleagues to effectively prioritise and deliver modelling requirements.

· Learn and develop new technical skills as required to contribute to team growth and share knowledge with the wider group. Take responsibility to continuously develop the necessary skills and techniques required to work with an ever-increasing degree of independence, accuracy, and efficiency.

· Develop relationships with other teams throughout the group with a view to share learnings and skillsets and exploring opportunities for collaboration on projects.

· Become a central contributor to the ambitious, energetic & development-focussed atmosphere within the team. Give due regard to the importance of creating a positive working environment for colleagues. Display an active interest in being a positive contributor to the core ethos within the team.

Skills, Capabilities & Experience Required

· Third level or postgraduate qualification in a quantitative or analytic discipline such as Mathematics, Statistics, Engineering, Computer Science, Physics, Actuarial Science, etc. High achievements in Mathematics/Statistics a distinct advantage.

· Minimum 3 years’ previous experience in a numerate or quantitative role with evidence of developing statistical models and applying them in a real-world environment.

· Excellent understanding of predictive modelling techniques including simulation and analytic based methods.

· Probabilistic thinker with a highly developed numeracy & technical skillset which facilitates high-quality, efficient & comprehensive analysis.

· Ability to query, cleanse, manipulate and analyse large structured (e.g. SQL databases) and unstructured datasets.

· Proficient programming skills and understanding of statistical tools and software packages (e.g. Python, R, C#, Excel)

· Experience with cloud-based platforms and tooling such as AWS an advantage.

· Exceptional written and verbal communication skills, and ability to cater to relevant audiences.

Job Type: Full-time

Salary: €40,000.00-€60,000.00 per year

Benefits:

• Bike to work scheme
• Flexitime
• Work from home

Schedule:

• Flexitime
• Monday to Friday

Supplemental pay types:

• Performance bonus

Ability to commute/relocate:

• Southside, Dublin, CO. Dublin: reliably commute or plan to relocate before starting work (required)

Work Location: Hybrid remote in Southside, Dublin, CO. Dublin