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For Companies At a Glance
- Tasks: Model, create, backtest, and launch innovative index strategies across various asset classes.
- Company: Join MerQube, a tech-driven disruptor in the financial markets since 2019.
- Benefits: Enjoy competitive pay, flexible remote work, and stellar health benefits.
- Why this job: Be part of a friendly team that values growth, inclusivity, and making a real impact.
- Qualifications: Advanced Python skills and a degree in a quantitative field with 2-4 years of experience required.
- Other info: Diversity and inclusion are core to our hiring; all qualified applicants are encouraged to apply.
The predicted salary is between 43200 - 72000 £ per year.
Created in 2019 by executives from globally recognized financial and technology firms, MerQube uses state-of-the-art technology to disrupt both the Index creation, and, more broadly, the systematic investing landscapes. Leveraging cloud-based architecture and today’s most advanced index-tracking technology, MerQube’s platform enables its clients to bring ideas to market quickly and efficiently.
Summary
Are you someone who has a background in programming and keen interest/experience in financial markets? Are you keen to work in an environment that’s stimulating and convivial with countless opportunities for growth and plenty of freedom to make a real impact? This could be the place for you!
We are looking for our next Financial Engineer based in the London Metropolitan Area. Supported by and reporting to the Financial Engineering Manager, you will be joining a friendly and growing team to disrupt the Index space and participate in the next phase of our growth.
What will you do?
You will be responsible for modeling, creating, backtesting, and launching a wide range of new index strategies across various asset classes. Your exposure will include (but of course not limited to) equities, futures, options, and multi asset classes. Alongside the rest of the Financial Engineering team, you’ll leverage pandas and related python libraries to produce MerQube branded financial engines as well as indexing strategies for major financial institutions.
You’ll interface directly with both clients and MerQube’s platform engineering team, developing and automating processes for daily and historical calculations to construct powerful financial engines. For this, a formidable background in distributed systems, communication skills, and general software engineering principles is essential.
What the position requires:
- Advanced programming skills in Python, especially financial data management.
- Bachelor’s degree or higher in Computer Sciences or a quantitative field such as Finance, Mathematics, Data Science, Economics, or Engineering with 2-4 years of experience.
- Master’s degree strongly preferred.
- Interest in financial markets, and the intersection of software and quantitative finance.
- Experience using financial data sets and financial data applications e.g. FactSet, Reuters, Morningstar, Bloomberg, Axioma, Barra.
We believe in creating and preserving an environment of collaboration and growth for all team members, and take steps every day to promote inclusivity, wellness, and fun. With these commitments in mind, we are proud to offer:
- Competitive compensation packages.
- Stellar full-time benefits, including medical, dental, vision, and more.
- Flexible working arrangements, including opportunities to work remotely.
- Community-first environment (we want your colleagues to be your friends!).
- Focus on health, wellness, and work-life balance.
- Opportunities to learn, develop, and grow.
- PTO, holiday, and sick time.
Our commitment to diversity
MerQube is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other factor protected by applicable federal, state, or local laws. If you’re the best person for the job, we want you on board!
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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Financial Engineer employer: Tbwa Chiat/Day Inc
Contact Detail:
Tbwa Chiat/Day Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Engineer
✨Tip Number 1
Familiarize yourself with the latest trends in financial markets and index strategies. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your Python programming skills, especially in relation to financial data management. Being able to showcase your proficiency in using libraries like pandas will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the financial engineering field. Attend relevant meetups or webinars to connect with people who can provide insights into the industry and potentially refer you to opportunities at MerQube.
✨Tip Number 4
Prepare to discuss your experience with financial data applications such as Bloomberg or FactSet. Being able to articulate how you've used these tools in past projects will demonstrate your hands-on experience and readiness for the role.
We think you need these skills to ace Financial Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and any relevant experience in financial markets. Emphasize your educational background in quantitative fields and any specific projects that showcase your ability to model and backtest index strategies.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your interest in the intersection of software and quantitative finance, and how your skills align with the responsibilities outlined in the job description.
Showcase Relevant Experience: If you have experience using financial data applications like Bloomberg or FactSet, make sure to mention this in your application. Provide examples of how you've utilized these tools in past roles to demonstrate your capability.
Highlight Soft Skills: Since the role involves interfacing with clients and collaborating with the platform engineering team, highlight your communication skills and teamwork experience. Mention any instances where you've successfully worked in a collaborative environment.
How to prepare for a job interview at Tbwa Chiat/Day Inc
✨Showcase Your Programming Skills
Make sure to highlight your advanced programming skills in Python during the interview. Be prepared to discuss specific projects where you've used Python for financial data management, and consider bringing examples of your work to demonstrate your expertise.
✨Demonstrate Your Financial Knowledge
Since the role requires a keen interest in financial markets, be ready to discuss recent trends or developments in the industry. Familiarize yourself with various asset classes like equities, futures, and options, and be prepared to explain how they relate to the index strategies you might work on.
✨Prepare for Technical Questions
Expect technical questions related to distributed systems and software engineering principles. Brush up on relevant concepts and be ready to solve problems on the spot, as this will showcase your analytical thinking and problem-solving abilities.
✨Emphasize Collaboration and Communication Skills
Since you'll be interfacing with clients and the platform engineering team, it's crucial to demonstrate your communication skills. Share examples of how you've successfully collaborated with others in past roles, and express your enthusiasm for working in a team-oriented environment.
