C++ Senior Quantitative Analyst - Fintech Buy-Side

Trades Workforce Solutions; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading fintech firm is seeking a Senior Quantitative Analyst in London to develop advanced quantitative models and algorithms that identify investment opportunities. This role requires a Master's or PhD with at least 5 years in a quantitative buy-side position. The firm offers a competitive salary, performance-based bonuses, and an innovative work environment. Candidates should be proficient in Python, R, and C++, with strong capabilities in statistical analysis and communication. Join a team that is transforming the finance industry.

Benefits

Competitive salary and performance-based bonuses

Comprehensive benefits package

Opportunities for professional development

Innovative work environment

Qualifications

• Minimum of 5 years’ experience in a quantitative role within the buy-side sector.
• Proven track record of developing successful quantitative models.
• Excellent problem-solving skills and attention to detail.

Responsibilities

• Develop and implement advanced quantitative models and trading algorithms.
• Conduct extensive data analysis to identify trends and investment opportunities.
• Collaborate with portfolio managers to design and refine investment strategies.

Skills

Python

R

C++

Statistical analysis

Machine learning

Data modeling

Education

Master’s or PhD in Quantitative Finance, Mathematics, Statistics, Computer Science

Job description

Our client, a pioneering fintech firm at the forefront of transforming the investment landscape, is seeking to add a Senior Quantitative Analyst to their expanding team in London.

Known for their innovative approach and cutting-edge technology, this firm is dedicated to delivering superior investment performance through data-driven strategies. They are looking for top-tier talent to contribute to their dynamic and forward-thinking environment.

Position Overview

The Senior Quantitative Analyst will play a critical role in the buy-side operations, developing sophisticated models and algorithms to identify and exploit investment opportunities. This position offers a unique chance to be part of a high-impact team and drive the firm’s success.

Key Responsibilities

• Develop and implement advanced quantitative models and trading algorithms.
• Conduct extensive data analysis to identify trends, patterns, and investment opportunities.
• Collaborate with portfolio managers to design and refine investment strategies.
• Continuously monitor and optimize existing models to enhance performance.
• Present insights and recommendations to senior management and stakeholders.
• Stay updated on the latest advancements in quantitative finance, data science, and fintech innovations.

Qualifications

• Master’s or PhD in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field.
• Minimum of 5 years’ experience in a quantitative role within the buy-side sector.
• Proficiency in programming languages such as Python, R, and C++.
• Strong background in statistical analysis, machine learning, and data modeling.
• Proven track record of developing successful quantitative models.
• Excellent problem-solving skills and attention to detail.
• Ability to work effectively in a fast-paced, collaborative environment.
• Strong communication skills, with the ability to convey complex concepts to non-technical stakeholders.

What Our Client Offers

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package, including health insurance and retirement plans.
• Opportunities for professional development and continuous learning.
• A collaborative and innovative work environment.
• The chance to work with cutting-edge technology and a talented team of professionals.

How to Apply

If you are a highly motivated and talented Quantitative Analyst looking to make a significant impact in the fintech industry, we want to hear from you.

Join our client and be part of a team that is transforming the future of finance.