At a Glance
- Tasks: Support data processes, ensuring accuracy and resilience in financial systems.
- Company: Join a leading fintech company with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for growth.
- Other info: Dynamic environment with opportunities to develop domain expertise.
- Why this job: Play a vital role in maintaining data integrity and operational excellence.
- Qualifications: Experience in data operations, strong SQL skills, and attention to detail.
The predicted salary is between 37800 - 46200 £ per year.
Role Overview
This role supports operational data processes including reconciliations, controls, and exception management across financial systems.
You’ll help ensure data accuracy and operational resilience in a highly regulated fintech environment.
Key Responsibilities
- Build and maintain reconciliation and monitoring processes
- Investigate and resolve data discrepancies
- Improve automation and operational controls
- Work with operations and engineering teams
- Support regulatory and audit requirements
- Required Experience
- Data engineering or data operations background
- Strong SQL skills
- Experience in financial operations or controls
- Python scripting experience
- Strong attention to detail
- Nice to Have
- Post-trade, payments, or reconciliation exposure
- Risk or controls background
- Automation tooling experience
- Why Join
- Business-critical operational role
- High ownership and accountability
- Strong domain expertise development
- #J-18808-Ljbffr
Data Operations Engineer – Reconciliation & Controls employer: EC1 Partners
EC1 Partners is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals in the heart of London. With a strong focus on employee growth, we provide ample opportunities for skill development and career advancement, all while working on cutting-edge high-frequency trading technologies that make a significant impact in the financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Data Operations Engineer – Reconciliation & Controls
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We think you need these skills to ace Data Operations Engineer – Reconciliation & Controls
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 EC1 Partners, 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 EC1 Partners. 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 EC1 Partners
✨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 EC1 Partners!
✨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.
