At a Glance
- Tasks: Lead full stack development and collaborate on innovative financial models.
- Company: Join BNY, a global leader in financial services with a supportive culture.
- Benefits: Competitive salary, generous leave, wellbeing programs, and career growth opportunities.
- Other info: Dynamic team environment with a focus on personal and professional development.
- Why this job: Make an impact in finance while working with cutting-edge technologies and data analytics.
- Qualifications: Master's degree in a quantitative field and experience in programming languages.
The predicted salary is between 30000 - 55000 £ per year.
Salary: £30,000 - 55,000 per year
Requirements:
- Master/MBA/PhDs Degree in a quantitative field (computer science, financial engineering, mathematics, data science or engineering)
- Experience using one or more programming languages (Python, R, C++, Java, Matlab, etc.) and manipulating data using SQL and Pandas
- Excellent written and verbal communication skills for coordination across teams
- Understanding of design, development and implementation of mathematical, financial risk and ML models
- Relevant work experience in a related field based on education level
- Knowledge of advanced statistical techniques and concepts (regression, time series analysis, statistical tests, etc.)
Responsibilities:
- Collaborate with stakeholders throughout the organization to develop project plans for model development and implementation
- Develop risk models in Python/R used by risk teams for regulatory stress testing submission and company risk management
- Design and build the execution workflow of models to forecast Balance Sheet, Fee Revenues, Macroeconomic Factors, Expense and calculate risk metrics under various stress scenarios
- Coordinate with different functional teams to implement models and coordinate coding, testing, implementation and documentation of financial models
- Develop processes and tools to monitor and analyze model performance to ensure expected application performance levels
- Apply data mining, data modelling and machine learning techniques to analyze large financial datasets and enhance model performance
Technologies:
- Java
- Machine Learning
- Matlab
- Python
- SQL
- Pandas
- AI
- Hadoop
- REST
- Spark
- Microservices
- Fullstack
At BNY, our culture allows us to run our company better and enables employees’ growth and success. We are a leading global financial services company influencing nearly 20% of the world’s investible assets. Our Enterprise Stress Testing & Modeling Analytics team builds and runs our firm’s financial analytics platform for regulatory and internal stress testing programs. Located in Manchester, we offer highly competitive compensation, benefits, and wellbeing programs, along with generous paid leave and support for personal resilience and financial goals.
Vice President, Full Stack Development in Manchester employer: BNY
At BNY, we pride ourselves on being an exceptional employer, particularly for the Vice President, Data Transfer – Integration & Quality role in London. Our commitment to a culture of excellence is reflected in our competitive compensation and comprehensive benefits, including generous paid leave and volunteer time, which support both personal and professional growth. We foster an inclusive environment that champions innovation and collaboration, providing ample opportunities for career advancement while ensuring our employees are equipped with the resources they need to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Vice President, Full Stack Development in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like BNY!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like BNY.
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We think you need these skills to ace Vice President, Full Stack Development in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at BNY, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at BNY. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at BNY
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at BNY!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
