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- Tasks: Develop a quantitative risk library and collaborate on innovative financial solutions.
- Company: WSD, a leading financial services firm with a focus on technology-driven solutions.
- Benefits: Gain hands-on experience, competitive salary, and opportunities for professional growth.
- Other info: Diverse workplace encouraging applications from all backgrounds.
- Why this job: Join a dynamic team and make an impact in the structured products industry.
- Qualifications: Degree in Mathematics, Statistics, or Computer Science; coding experience required.
About Us:
WSD is a leading financial services firm that leverages cutting-edge technology to deliver innovative solutions to the market. We work with a wide range of solutions supporting the structured products industry.
Position Overview:
We are looking for a Quantitative Analyst to join our team to develop our quantitative risk library. The role requires a mathematics and statistics background, with an understanding of financial fundamentals and enthusiasm for coding. While at WSD, you will further learn how to code and develop interactive libraries, test and roll out software applications that fit in the IT landscape of a bank. You will also have client contact from day one. In addition, you will acquire a range of knowledge of financial products generally.
Responsibilities:
· Maintain and develop our risk-engine, which is implemented in JavaScript/NodeJS and Java with an in-house library of functions.
· Expose to various asset classes, including equities, foreign exchange, commodities, interest rates, inflation, credit defaults, etc., and review the associated model implemented in the library as per the European Union’s Regulatory Technical Standards (RTS) for packaged retail investment and insurance-based products (PRIIPs).
· Implement innovative payment features and other properties of structured products and OTC derivatives based on the market trends.
· Collaborate with software engineers to implement complex features involving large data manipulation and storage, guide them with business logic and be the bridge between technical and non-technical people in the team.
· Understand the financial insights behind product payoffs and code in PHP fully to build mapping logic to translate banks’ input in XMLs into the risk-engine’s input in JSON strings.
· Communicate with Tier 1 bank clients and internal service desks, performing Monte-Carlo simulations to provide risk analysis, finding efficient and effective solutions to solve any possible issue linked with the risk-engine.
· Develop a pricing platform and aggregate it with the existing risk-engine.
· Support all quantitative finance relevant requests from any service desk at WSD.
· Be a team player and actively communicate and corporate with other teams.
Qualifications:
· Degree in Mathematics/Statistics/Computer Science, or any quantitative subject.
· Experience in coding in any programming language (preferably in JavaScript and Java).
· Experience in building software architecture solutions, creating databases and API requests.
· Knowledge in stochastic calculus, statistics, probability and numerical methods.
· Experience in any academic/industrial statistical project.
· Good communication skills, being able to explain complex concepts to other people.
About WSD and PRIIP Cloud service:
We specialize in helping banks automate the issuance process for structured products. In plain English, a structured product is a financial product, not unlike a savings account, where the return to the investor depends on the performance of an underlying asset (e.g., a stock or an index). While structured products tend to offer a higher return than savings account, they also tend to have a higher risk. Therefore, the issuance (i.e., the creation) of a structured product and its offering to investors is highly regulated. EU’s regulations require a key information document (KID) for each structured product. We offer banks automation solutions to generate such documents. Over 850,000 documents are automatically generated and delivered to our bank clients on a daily basis. The banks are required to produce these documents in 20+ languages.
If the role sounds interesting to you, please do not hesitate to share your resume to us!
WSD is an employer that values diversity. We highly encourage applications from appropriately qualified and eligible candidates irrespective of age, race, religion, national origin, gender, sexual orientation, gender identity and/or expression, veteran status, disability, or any other status protected by applicable law.
Quant Analyst in London employer: Wall Street Docs
Contact Detail:
Wall Street Docs Recruiting Team
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Quant Analyst role. Highlight your coding experience, especially in JavaScript and Java, and any relevant projects you've worked on. We want to see how you can contribute to our risk-engine!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative analysis and how your background in mathematics and statistics makes you a great fit for WSD. Let us know what excites you about the role and our company!
Show Off Your Communication Skills: Since you'll be interacting with clients and team members, it's important to demonstrate your ability to explain complex concepts clearly. In your application, include examples of how you've successfully communicated technical information to non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team at WSD!
How to prepare for a job interview at Wall Street Docs
✨Know Your Numbers
Brush up on your mathematics and statistics fundamentals. Be prepared to discuss concepts like stochastic calculus and probability, as these will likely come up during the interview. Showing confidence in your quantitative skills can really impress the interviewers.
✨Show Off Your Coding Skills
Since coding is a big part of the role, make sure you’re comfortable discussing your experience with programming languages, especially JavaScript and Java. Bring examples of past projects or code snippets that demonstrate your ability to build software architecture solutions.
✨Understand Financial Products
Familiarise yourself with structured products and how they work. Being able to explain the financial insights behind product payoffs will show that you understand the industry and can communicate complex concepts effectively, which is key for this role.
✨Be a Team Player
WSD values collaboration, so be ready to discuss how you've worked with others in the past. Highlight any experiences where you acted as a bridge between technical and non-technical teams, as this will resonate well with the interviewers.