At a Glance
- Tasks: Develop innovative credit pricing models and collaborate with traders and analysts.
- Company: Join a leading international bank committed to making a positive impact.
- Benefits: Competitive salary, flexible working, generous leave, and wellbeing support.
- Why this job: Make a real difference in financial markets while enhancing your quantitative skills.
- Qualifications: Master’s or PhD in quantitative subjects; experience in credit pricing modelling.
- Other info: Dynamic team culture with opportunities for continuous learning and growth.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a mid-level Front Office Credit Pricing Quantitative Analyst to join our dynamic team in London, focusing on model development activities within the Credit trading desk. This pivotal role involves close collaboration with traders, sales personnel, structurers, and other modelling experts to enhance valuation techniques and refine risk management methodologies. The successful candidate will be instrumental in delivering accurate, robust, and innovative modelling solutions that align with evolving market conditions and business priorities. This position offers an excellent opportunity to make a tangible impact by leveraging quantitative expertise in credit pricing modelling, and contributing directly to business strategy. The role demands a proactive and analytical mindset, with a commitment to maintaining the highest standards of model integrity and documentation.
Key Responsibilities
- Partnering with traders, sales teams, structurers, and fellow quantitative analysts to execute comprehensive product development plans that support business goals and client needs.
- Maintaining an acute awareness of the prevailing economic, regulatory, and market environment impacting Financial Markets, ensuring that model and analytic capabilities remain best-in-class.
- Designing, developing, and maintaining sophisticated pricing and risk management models for Flow Credit products, ensuring robust performance under diverse market conditions.
- Preparing detailed model documentation, including clear testing materials and validation reports, to comply with internal and external regulatory requirements.
- Continuously enhancing existing analytics to improve accuracy, efficiency, and consistency across credit pricing modelling frameworks.
- Conducting research on emerging models and advanced numerical techniques published in academic or industry literature, and integrating relevant innovations into our modelling suite.
- Providing day-to-day technical support and advisory to business units involved in credit products, ensuring smooth operational workflows and effective risk controls.
- Ensuring all models are developed and maintained in strict compliance with Group Model Risk policies and relevant standards.
- Proactively driving the implementation and adoption of the Group Model Risk policy across credit modelling activities, fostering a culture of responsibility and transparency.
Qualifications
- A strong academic background - Master’s or PhD degree in numerate/quantitative subjects such as Mathematics, Physics, Financial Maths, Engineering.
- Demonstrated experience in developing credit pricing models within Financial Markets in a Front Office environment, or validation of such models, preferably within international banks or other major financial institutions.
- Proficiency in C++ for model implementation and data analysis.
- In-depth knowledge of numerical methods, stochastic calculus, probability theory, and their application in financial modelling.
- Comprehensive understanding of financial market products, market conventions, and pertinent regulatory frameworks.
- Experience or aptitude in functional programming (e.g., Haskell) would be advantageous but is not mandatory.
- Excellent communication skills with fluency in both written and spoken English, enabling effective collaboration across multidisciplinary teams and clear presentation of complex concepts.
What we offer
- In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
- Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
- Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
- Flexible working options based around home and office locations, with flexible working patterns.
- Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aid and all sorts of self-help toolkits.
- A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
- Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
Credit Quantitative Analyst employer: Standard Chartered
Contact Detail:
Standard Chartered Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Quantitative Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and quantitative analysis space. Attend industry events, webinars, or even casual meet-ups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and analyses. This could be a GitHub repository or a personal website. When you apply through our website, include this link to give hiring managers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with traders and other team members. Mock interviews can help you nail this!
✨Tip Number 4
Stay updated on market trends and regulatory changes. Being knowledgeable about the current economic landscape will not only impress interviewers but also show that you're proactive and committed to your role. Follow relevant news sources and join discussions online.
We think you need these skills to ace Credit Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Credit Quantitative Analyst role. Highlight your experience with credit pricing models and any relevant quantitative skills. We want to see how your background aligns with what we’re looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your proficiency in C++ and your understanding of financial markets. This helps us see your potential impact on our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about this role and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of our business goals.
Apply Through Our Website: We encourage you to apply through our careers website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to navigate!
How to prepare for a job interview at Standard Chartered
✨Know Your Models Inside Out
Make sure you have a solid understanding of the credit pricing models you've worked on. Be ready to discuss their development, strengths, and weaknesses. This will show your analytical mindset and commitment to model integrity.
✨Brush Up on Financial Markets
Stay updated on the latest trends in financial markets, especially those affecting credit products. Being able to discuss current economic conditions and regulatory changes will demonstrate your proactive approach and awareness of the market environment.
✨Practice Your Communication Skills
Since you'll be collaborating with traders and other teams, practice explaining complex concepts in simple terms. Clear communication is key, so consider doing mock interviews or explaining your work to someone outside your field.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in C++ and any other relevant programming languages. You might even want to bring examples of your work or projects that highlight your technical abilities and how they apply to credit modelling.