At a Glance
- Tasks: Design and develop AI-driven solutions for complex enterprise problems.
- Company: Join BNY Mellon, a leading global financial services company.
- Benefits: Competitive salary, growth opportunities, and a culture of innovation.
- Other info: Dynamic team environment with exceptional career growth potential.
- Why this job: Make a real impact with cutting-edge AI technology in finance.
- Qualifications: Degree in Computer Science or related field; experience in AI frameworks.
The predicted salary is between 72000 - 88000 £ per year.
hackajob is partnering directly with BNY Mellon to hire for this role. At BNY, our culture allows us to run our company better and enables employees growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the worlds investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
We are looking for highly analytical engineers who excel at designing and building AI-driven solutions for complex enterprise problems. The role focuses on strong logical thinking, algorithmic problem solving, and system design to develop scalable AI-enabled capabilities across data platforms and applications. The ideal candidate is comfortable working across the full lifecycle of AI solution development - from problem formulation and model selection to system integration and deployment - while emphasising sound engineering principles and architectural thinking.
In this role, you'll make an impact in the following ways:
- Design and develop AI-powered solutions to solve complex enterprise data and analytics problems
- Translate ambiguous business problems into structured AI/ML approaches and algorithms
- Build scalable architectures for AI solutions, including model pipelines, data processing, and decision systems
- Collaborate with platform, data, and product teams to integrate AI capabilities into enterprise systems
- Evaluate and experiment with emerging AI methodologies and frameworks to improve solution effectiveness
- Document solution design, assumptions, and algorithms for enterprise adoption
To be successful in this role, we're seeking the following:
- Education: Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field
- Experience in software development with additional experience on AI based frameworks
- Skills: Strong analytical and algorithmic problem-solving skills
- Solid understanding of machine learning concepts, statistical methods, and AI techniques
- Ability to design scalable AI systems and architectures
- Strong logical reasoning and mathematical thinking
- Exposure to AI assisted experimentation and evaluation frameworks
- Experience translating business problems into algorithmic solutions
- Ability to work with large and complex datasets
- Strong written and verbal communication skills for explaining complex concepts
Locations
Vice President, AI / Machine Learning Data Engineer in Cheshire, Warrington employer: Hackajob Ltd
JPMorgan Chase is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Lead Site Reliability Engineer, you will not only tackle complex challenges but also benefit from extensive professional development opportunities and a strong commitment to diversity and inclusion. Located in a global financial hub, you'll be part of a team that values your expertise and encourages a culture of continuous improvement and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Vice President, AI / Machine Learning Data Engineer in Cheshire, Warrington
✨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.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
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.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Hackajob Ltd. 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 Vice President, AI / Machine Learning Data Engineer in Cheshire, Warrington
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 Hackajob Ltd.
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 Hackajob Ltd'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 Hackajob Ltd
✨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 Hackajob Ltd.
✨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 Hackajob Ltd 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 Hackajob Ltd 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.
