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- Tasks: Join our team to automate workflows and support data processing in a dynamic fintech environment.
- Company: Exciting fintech company with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working, medical insurance, and excellent training opportunities.
- Other info: Perfect for recent graduates looking to kickstart their career in finance and technology.
- Why this job: Gain hands-on experience while learning from industry professionals in a fast-paced setting.
- Qualifications: Bachelor's degree in a relevant field and basic programming skills, eager to learn more.
The predicted salary is between 30000 - 40000 ÂŁ per year.
We are looking for a motivated Junior Operations Analyst to join our Quant Solutions Group (QSG), with firm wide exposure in supporting and automating workflows. This is a unique opportunity for someone early in their career who is eager to learn, develop new skills, and grow within a dynamic fintech environment. You will work closely with senior operations and quantitative professionals, gaining handsâon experience in data processing, workflow automation, and operational analysis across the FX and cash management business.
This role is ideal for a junior professional or recent graduate who is curious, detailâoriented, and enthusiastic about learning. You thrive in a collaborative environment, are comfortable working with data, and are excited by the prospect of building automation skills alongside experienced operations and quantitative professionals in the financial industry.
Key Responsibilities- Process, clean, and validate datasets from multiple sources, handling data of varying formats and complexity levels.
- Assist in developing and maintaining automated data pipelines and operational workflows using Python and AI tools.
- Support senior analysts and quant professionals with adâhoc data analysis, reporting, and operational tasks.
- Help maintain and improve existing operational processes, identifying opportunities for automation and efficiency gains.
- Collaborate with crossâfunctional teams to ensure smooth data handoffs and operational alignment.
- Bachelor's degree (or equivalent) in a relevant discipline such as Finance, Economics, Computer Science, Data Science, Mathematics, Engineering, or a related quantitative field.
- Basic programming and coding skills (e.g. Python and AI tools) with a willingness to develop further.
- Comfortable working with data in various formats (CSV, Excel, JSON, databases) and at different levels of complexity.
- Strong attention to detail and a methodical approach to data quality and process documentation.
- Genuine interest in learning and developing automated workflows and operational tools.
- A collaborative mindset with strong communication skills, open to feedback and eager to learn from senior professionals.
- Proactive, adaptable, and open to taking on new challenges in a fastâpaced environment.
- Familiarity with data processing and automation workflow using AI tools, such as Claude Code or equivalence.
- Previous experience of building prototyping and automating workflows in quant and/or operational environments.
- Interest in or basic understanding of financial markets, particularly foreign exchange and cash management markets.
- Experience with version control (e.g. Git) and collaborative development practices.
- A competitive salary with annual reviews;
- 25 days' paid annual leave plus an additional day per year of service;
- Excellent staff development and training opportunities;
- Flexible working arrangements including remote working;
- Medical insurance;
- Life insurance, for UK based employees;
- EV Scheme and Cycle to work scheme;
- Enhanced maternity leave.
Quant Solutions Operations Analyst in London employer: MillTech
Contact Detail:
MillTech Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Quant Solutions Operations Analyst in London
â¨Tip Number 1
Network like a pro! Reach out to professionals in the fintech space, especially those working in operations or quantitative roles. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects you've done, especially those involving Python or data automation. This will give you an edge and demonstrate your hands-on experience to potential employers.
â¨Tip Number 3
Prepare for interviews by brushing up on common questions related to data processing and workflow automation. Practice explaining your thought process clearly, as communication is key in collaborative environments like ours.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Quant Solutions Operations Analyst in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight any relevant coursework or projects, especially those involving data processing or automation, to show us you're a great fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity. Share your passion for learning and how you can contribute to our team, especially in areas like workflow automation and data analysis.
Show Off Your Coding Skills: If you've got experience with Python or AI tools, make sure to mention it! We love seeing examples of your coding work, so if you have any projects or GitHub repositories, include them in your application.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures you donât miss out on any important updates from our team!
How to prepare for a job interview at MillTech
â¨Know Your Data
Make sure you brush up on your data processing skills before the interview. Familiarise yourself with different data formats like CSV, Excel, and JSON, as well as basic programming in Python. Being able to discuss how you've handled data in the past will show your potential employer that you're ready for the role.
â¨Show Your Curiosity
This role is all about learning and growing, so donât hesitate to express your eagerness to develop new skills. Prepare some questions about the companyâs approach to automation and workflow processes. This will demonstrate your genuine interest in the position and the fintech environment.
â¨Highlight Collaboration Skills
Since the job involves working closely with senior analysts and cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Talk about any group projects or experiences where you communicated effectively and contributed to a team goal.
â¨Be Proactive and Adaptable
In a fast-paced environment, being proactive is key. Think of instances where you've taken initiative or adapted to new challenges. Share these stories during your interview to illustrate that you can thrive under pressure and are open to taking on new responsibilities.