AI Consultant – Finance AI for Risk & Compliance

AI Consultant – Finance AI for Risk & Compliance

Full-Time 60000 - 80000 Β£ / year (est.) Home office (partial)
EPAM Systems

At a Glance

  • Tasks: Implement AI solutions to tackle financial challenges and ensure compliance.
  • Company: EPAM Systems, a leader in tech consulting with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and comprehensive benefits package.
  • Other info: Exciting opportunities for growth in a fast-paced environment.
  • Why this job: Join a dynamic team and shape the future of finance with AI.
  • Qualifications: 5+ years in data science or IT consulting, with Python and cloud expertise.

The predicted salary is between 60000 - 80000 Β£ per year.

EPAM Systems is seeking an AI Consultant with expertise in artificial intelligence and machine learning, particularly within financial services. The role involves implementing AI-driven solutions to address business challenges and ensure compliance with industry regulations.

The ideal candidate will have over 5 years of experience in data science or IT consulting, knowledge of relevant financial regulations, and proficiency in tools like Python and cloud platforms. This position offers a hybrid working environment and competitive benefits.

AI Consultant – Finance AI for Risk & Compliance employer: EPAM Systems

EPAM Systems is an excellent employer for AI Consultants, offering a dynamic hybrid working environment that fosters innovation and collaboration. With a strong focus on employee growth, EPAM provides access to cutting-edge technology and continuous learning opportunities, ensuring that team members can thrive in their careers while contributing to impactful AI solutions in the financial sector.

EPAM Systems

Contact Details:

EPAM Systems Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land AI Consultant – Finance AI for Risk & Compliance

✨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 EPAM Systems!

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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Consultant – Finance AI for Risk & Compliance at EPAM Systems.

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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 EPAM Systems.

✨Apply Directly through Our Website

When you find a suitable opening like AI Consultant – Finance AI for Risk & Compliance at EPAM Systems, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI Consultant – Finance AI for Risk & Compliance

Artificial Intelligence
Machine Learning
Data Science
IT Consulting
Financial Services Knowledge
Financial Regulations
Python

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 EPAM Systems, 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 EPAM Systems. 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 EPAM Systems

✨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!

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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 EPAM Systems!

✨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.