Quantitative Python Analyst

3 weeks ago


London, Greater London, United Kingdom OTS Research Full time

Quantitative Python Analyst (Financial Analytics)

OTS Research is on the lookout for a talented and driven Quantitative Python Analyst to enhance our innovative team. The successful candidate will possess a minimum of 4 years of professional experience in the field. A deep understanding of quantitative finance, particularly in the realms of foreign exchange or cryptocurrency markets, is essential.

Key Responsibilities:

- Partner with quantitative analysts to design, optimize, and fine-tune trading algorithms, ensuring peak performance and precision.

- Leverage expertise in quantitative finance to dissect intricate data sets and derive actionable insights that can significantly influence trading methodologies.

- Utilize Python to create and sustain powerful data analysis frameworks and algorithms.

- Engage in comprehensive data mining to uncover new trading prospects and market trends in the foreign exchange and cryptocurrency sectors.

- Formulate and evaluate both linear and non-linear modeling strategies to enhance predictive accuracy and model efficacy.

- Generate thorough analytical reports and present findings to stakeholders and team members to facilitate informed decision-making.

Requirements:

- Demonstrated experience as a Data Scientist with a solid foundation in Python programming.

- In-depth knowledge of quantitative finance, especially within the foreign exchange or cryptocurrency trading space.

- Proficiency in linear modeling techniques and their application in financial analysis.

- Proven track record in data mining and managing extensive, complex datasets.

- Ability to collaborate effectively with quantitative analysts and other team members.

- Strong analytical capabilities with meticulous attention to detail.

- Exceptional communication and presentation skills.

Preferred Qualifications:

- Advanced degree in Mathematics, Statistics, Computer Science, or a related discipline.

- Familiarity with additional programming languages or analytical tools is advantageous.



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