Quantitative Analyst

0000050721 RBC Global Asset Management (UK) Limited
London
1 year ago
Applications closed

Related Jobs

View all jobs

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Quantitative Analyst

Quantitative Analyst

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Quantitative Analyst - AI Trainer

Job Description

What is the opportunity?In this role you will support the activities around quantitative and data science spectrum, within RBC BlueBay.What will you do?Design and maintain front office tools. These are in the form of dashboards or apps that show visualisations and quantitative analysis. Understand the Quant data infrastructure and how this fits into the firmwide infrastructure. This will include maintaining database queries and stored procedures and managing a move to the cloud. This work will be done in consultation with IT so it will be important to manage relationships with this team. Be the first point of contact between the Quant team and IT infrastructure, IT front office developers and data team. Conduct research on new data sources, statistical methods and AI technologies to enhance our offering to the front office. Initially there will be less focus on the quantitative research aspect of the role but this will grow over time. A very important responsibility is to build relationships the front office. They are the end clients of all the work we do so it is vital that the Quant team can approach them with ideas and that they are comfortable with the quality of our analyses.What do you need to succeed?Must-Have:Proficiency in R/Python/Matlab programming. Strong numerical skillsNice to have:Experience with SQL or other database management system. Excellent problem solving skills and attention to detail. Ability to work independently and collaboratively.What’s in it for you?We thrive on the challenge to be our best - progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. Leaders who support your development through coaching and managing opportunities. Opportunities to work with the best in the field. Ability to make a difference and lasting impact. Work in a dynamic, collaborative, progressive, and high-performing team. Flexible working options fully supported.Job SkillsConsulting, Critical Thinking, Derivatives, Economic Analysis, Financial Instruments, Investment Banking Analysis, Investment Risk Management, Market Risk, Quantitative MethodsAdditional Job Details

Address:

100 BISHOPSGATE:LONDON

City:

London

Country:

United Kingdom

Work hours/week:

35

Employment Type:

Full time

Platform:

Wealth Management

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2024-03-28

Application Deadline:

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
​​​​​​​
We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.