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- Tasks: Build and enhance pricing and risk platforms for global trading.
- Company: Join a top-performing fund with a dynamic tech team.
- Benefits: Gain hands-on experience in financial markets and cutting-edge technology.
- Why this job: Work directly with traders and quants, making impactful contributions.
- Qualifications: 1+ years in financial services; strong C#/C++ programming skills.
- Other info: Fast-paced environment with opportunities for rapid career growth.
The predicted salary is between 36000 - 60000 £ per year.
The risk technology team is responsible for building out the firm’s in-house pricing platform and PNL and risk systems that are used by portfolio managers, risk management, finance and product control teams. The team sits within the Front office technology group which also contains quant research, data technology and rapid application development teams.
As the fund continues to expand its trading presence globally, there is a desire to further build out the firm’s pricing and risk platforms, supporting the front office’s ability to manage and structure trades whilst allowing the risk management group to evaluate risk across the trading book. Pricing and risk analytics are developed and enhanced to ensure the firm is able to take advantage of dynamically evolving market opportunities. The team provides desktop and web front end clients as well as a pricing platform that is consumed mainly through Excel and Python.
This is an exciting opportunity to work for one of the strongest performing funds in the world, supporting and building out solutions in collaboration with trading. The successful candidate would gain experience in all financial markets and work with some of the best traders, technologists and quant researchers in the world.
The role will require strong mathematical and programming skills with the core pricing libraries being written in C#/C++. As this is a highly product-focused role, an understanding of one or more financial asset classes is desired. This is an excellent opportunity for a delivery focused individual with solid analytical skills and a passion for technology and financial markets to work directly on trading desk enhancements without any bureaucracy or politics.
Responsibilities- Proficiency in C#/C++ and a good understanding of object-oriented programming principles
- An understanding of financial instruments including derivatives and other structured products
- 1+ years relevant experience, ideally within financial services or trading environments
- Experience with Python for data analysis and/or automation
- Familiarity with SQL Server and relational database design
- Self-motivated and able to learn quickly
- At least 2 years of experience in a front office pricing or risk technology role
- Ability to understand OOP and how to write re-usable code within the core quant library and risk engine frameworks
- Comfortable with the full software development lifecycle
- Demonstrate adherence to best practices in all areas of their work
C# Quant Risk Developer (Associate/ AVP) employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C# Quant Risk Developer (Associate/ AVP)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in risk technology or quant roles. Attend meetups or webinars, and don’t be shy about asking for informational interviews – you never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects, especially in C# or Python, make sure to highlight them. Create a GitHub repo or a personal website showcasing your work – it’s a great way to demonstrate your coding chops and understanding of financial instruments.
✨Tip Number 3
Prepare for technical interviews by brushing up on your programming skills and financial knowledge. Practice coding challenges and be ready to discuss your thought process. Remember, they want to see how you think, not just if you can get the right answer!
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate individuals who are eager to dive into the world of finance and technology. Don’t miss out on the chance to join a top-performing fund – your dream job could be just a click away!
We think you need these skills to ace C# Quant Risk Developer (Associate/ AVP)
Some tips for your application 🫡
Show Your Passion for Tech and Finance: When writing your application, let us see your enthusiasm for technology and financial markets. Share any relevant projects or experiences that highlight your skills in C#/C++ and Python, as well as your understanding of financial instruments.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience in risk technology and any specific projects that relate to pricing platforms or trading environments. We want to see how you fit into our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, and avoid jargon unless it’s relevant. We appreciate a well-structured application that’s easy to read.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Morgan McKinley
✨Know Your Tech Inside Out
Make sure you brush up on your C# and C++ skills before the interview. Be ready to discuss your experience with object-oriented programming principles and how you've applied them in past projects. It’s a good idea to have examples of your work handy, especially if they relate to financial instruments or risk technology.
✨Understand the Financial Landscape
Familiarise yourself with different financial asset classes, particularly derivatives and structured products. Being able to speak knowledgeably about these topics will show that you’re not just a tech whiz but also understand the business side of things, which is crucial for this role.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical skills during the interview. You might be asked to solve a problem or analyse a scenario related to risk management or pricing. Practising some common quantitative problems can help you feel more confident and ready to impress.
✨Ask Insightful Questions
Don’t forget that interviews are a two-way street! Prepare some thoughtful questions about the team’s current projects or the technologies they use. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
