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- Tasks: Design and implement Python tools for balance sheet sensitivity and risk metrics.
- Company: Join a leading bulge bracket bank with a strong reputation in finance.
- Benefits: Enjoy a hybrid work model with 3 days in the office and competitive pay.
- Why this job: Work on impactful projects, collaborate with tech teams, and enhance your coding skills.
- Qualifications: 2-5 years of experience in a similar role with strong Python coding skills required.
- Other info: No sponsorship available; excellent communication skills are essential.
The predicted salary is between 96000 - 126000 £ per year.
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This range is provided by Pure Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Pure Search
Principal – Treasury Recruitment Specialist – Pure Search
Pure Search are delighted to be working with a bulge bracket bank on their search for an ALM Quantitative Analyst at the Assistant Vice President level. This role sits within the bank\’s QA Treasury Team.
You will be responsible for supporting the Asset and Liabilities Management (ALM) & Hedge Accounting stakeholders in Finance & Risk by designing, implementing, and deploying Python-based tools for balance sheet sensitivity and risk metrics. Additionally, you will collaborate with business stakeholders and Technology partners to develop and deploy models.
Primary Deliverables
- Design analytics and modelling solutions to complex business problems using domain expertise.
- Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
- Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
- Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
- Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
- Demonstrate conformance to all the bank\’s Risk Management Policies, particularly Model Risk Policy.
- Ensure all development activities are undertaken within the defined control environment.
Required Experience
- 2-5 years experience in a similar position, including industry experience for Python or transferable codes e.g. C++ or Java.
- Strong coding skills in Python, including close familiarity with Pandas and Numpy libraries.
- A solid foundation in financial mathematics, in particular bond and derivative pricing and discounting.
- Mathematics, Statistics, Computer Science, or related degree.
- Excellent communication skills, including the ability to discuss technical matters with a non-technical audience.
No sponsorship is available for this position.
This role is hybrid 3 days per week in the office.
Please apply or reach out to to arrange time to speak if you meet the above criteria.
Seniority level
-
Seniority level
Associate
Employment type
-
Employment type
Full-time
Job function
-
Job function
Finance
-
Industries
Banking
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ALM Quantitative Analyst employer: Pure Search
Contact Detail:
Pure Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ALM Quantitative Analyst
✨Tip Number 1
Familiarise yourself with the specific Python libraries mentioned in the job description, such as Pandas and Numpy. Being able to demonstrate your proficiency in these tools during discussions can set you apart from other candidates.
✨Tip Number 2
Brush up on your financial mathematics knowledge, particularly around bond and derivative pricing. Being able to discuss these concepts confidently will show your potential employer that you have the necessary domain expertise.
✨Tip Number 3
Prepare to discuss your previous experience in developing analytics and modelling solutions. Be ready to share specific examples of how you've tackled complex business problems using your coding skills.
✨Tip Number 4
Since this role involves collaboration with both technical and non-technical stakeholders, practice explaining technical concepts in simple terms. This will help you demonstrate your excellent communication skills during interviews.
We think you need these skills to ace ALM Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Python programming, financial mathematics, and any previous roles related to Asset and Liabilities Management. Use specific examples that demonstrate your skills in coding and analytics.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the bank. Discuss how your background aligns with the responsibilities of designing and implementing analytical solutions, and mention your ability to communicate complex technical concepts to non-technical stakeholders.
Showcase Technical Skills: Clearly outline your proficiency in Python, especially with libraries like Pandas and Numpy. If you have experience with C++ or Java, mention that too. Providing examples of past projects or tools you've developed can strengthen your application.
Highlight Collaboration Experience: Since the role involves working with business stakeholders and technology partners, include examples of past collaborative projects. Emphasise your communication skills and ability to work within a team to achieve common goals.
How to prepare for a job interview at Pure Search
✨Showcase Your Technical Skills
As an ALM Quantitative Analyst, you'll need to demonstrate your proficiency in Python and familiarity with libraries like Pandas and Numpy. Be prepared to discuss specific projects where you've used these skills, and consider bringing examples of your code or models to showcase your capabilities.
✨Understand Financial Mathematics
Make sure you have a solid grasp of financial mathematics, particularly in bond and derivative pricing. Brush up on key concepts and be ready to explain how they apply to the role. This will show your potential employer that you can tackle complex business problems effectively.
✨Communicate Clearly
Excellent communication skills are crucial for this role, especially when discussing technical matters with non-technical stakeholders. Practice explaining your work in simple terms, and prepare to answer questions about how you would convey complex ideas to different audiences.
✨Prepare for Collaboration
This position involves working closely with both business stakeholders and technology partners. Think of examples from your past experiences where you've successfully collaborated on projects. Highlight your ability to work in a team and how you handle dependencies in analytical solutions.
