At a Glance
- Tasks: Validate and assess Credit Algo-trading models, ensuring their soundness and effectiveness.
- Company: Join Standard Chartered Bank, a diverse and inclusive employer committed to equality.
- Benefits: Gain valuable experience in a global team with opportunities for professional growth.
- Other info: Collaborate with teams across the globe and enhance your skills in a dynamic environment.
- Why this job: Make an impact in the finance world by validating cutting-edge trading models.
- Qualifications: Advanced degree in a quantitative field and experience in model validation or development.
The predicted salary is between 60000 - 80000 £ per year.
This job is with Standard Chartered Bank, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
Job Summary: Traded Risk Model Validation is a group that performs in-depth technical model validations of models covering pricing, algo trading models, market and counterparty credit risk of derivatives spanning all asset classes. This opportunity is for a validator to perform model validations, build benchmark models, conduct testing, and develop standardised model testing frameworks. The role sits within the Credit Pricing and Algo Trading validation team focused on Credit Pricing and Algo-trading Models. The role is expected to conduct validations across Credit Algo-trading Models and requires collaborative working both across the local team in the UK and globally with validators in Poland, Singapore, HK, and the US.
Key Responsibilities:
- Perform validation of Credit Algo-trading models by verifying conceptual soundness, methodology and implementation, and by identifying and assessing limitations and uncertainties.
- Assess and opine on model risk across a range of credit pricing models and credit Algo trading models.
- Issue technical validation reports and recommendations and advise stakeholders about the conceptual soundness, the technical soundness, and the empirical soundness of the models.
- Liaise with model developers, Trading, Risk managers, and Valuation control teams and provide guidance on model risk.
- Communicate validation outcomes and findings to key stakeholders and management.
Skills and Experience:
- Practical knowledge of fixed income and credit markets required with understanding of market practice and market drivers for trading in bonds, CDS, TRS, Asset Backed Securities, and REPOs.
- Hands-on experience with large data sets, ideally data used for trading: Request for Quotes; Trade information; prices; etc.
- Experience in Market Risk Metrics such as VaR/sVaR backtesting.
- Familiarity with e-Pricing platforms.
- Experience with credit and Fixed Incomes pricing models.
- Proactivity and self-motivation.
- Strong writing skills with ability to present conclusions and recommendations from technical projects to a less technical audience.
- Strong communication skills to facilitate the ability to work effectively as part of a Global Team and liaise with key stakeholders.
- Fluency in written and spoken English.
- Ability to challenge the proposed methodologies and to provide alternative solutions.
Qualifications:
- Strong quantitative background, Advanced degree (PhDs, Masters or equivalent) in a highly numerical subject such as mathematics, physics, engineering or mathematical finance.
- Direct experience in either a model validation or model development role covering pricing, or risk modelling for derivatives.
- Practical knowledge of optimization, statistics and machine learning (e.g. time series analysis, classification, supervised and unsupervised learning) and applications in finance.
- Experience in using Python and in scientific programming.
Algo-Trading Model Validator employer: Standard Chartered Bank
Standard Chartered Bank is an exceptional employer that champions inclusivity and diversity, making it a welcoming environment for all employees, including those from the LGBTQ+ community. With a strong focus on employee growth, the bank offers extensive training and development opportunities, fostering a collaborative work culture that spans across global teams. Located in the UK, this role not only provides the chance to engage with cutting-edge financial models but also allows for meaningful contributions to the bank's risk management strategies, ensuring a rewarding career path for its employees.
StudySmarter Expert Advice🤫
We think this is how you could land Algo-Trading Model Validator
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
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Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
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Don’t shy away from reaching out directly to firms like Standard Chartered Bank. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Algo-Trading Model Validator
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Standard Chartered Bank.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Standard Chartered Bank's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Standard Chartered Bank
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Standard Chartered Bank.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Standard Chartered Bank will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Standard Chartered Bank employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.