At a Glance
- Tasks: Manage data conversion projects and enhance Python scripts for client onboarding.
- Company: Addepar, a global leader in data and AI for investment professionals.
- Benefits: Flexible hours, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Join a dynamic team transforming financial data into actionable insights.
- Qualifications: 3+ years in finance/tech, strong communication skills, and proficiency in SQL and Python.
The predicted salary is between 45000 - 55000 £ per year.
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence.
Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows.
More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets.
Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity.
Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.
The Role Part of the broader Addepar Data organisation, the Data Client Projects team is responsible for converting and onboarding existing client portfolio data onto Addepar.
During the lifecycle of a project, members of this team will coordinate data transmission/extraction, transform and import data, and assist with the validation of the data.
Accurate and timely completion of these projects are crucial in enabling our clients to take full advantage of Addepar's reporting and analysis capabilities.
What You'll Do Manage and complete data conversion projects of varying complexity from third-party systems and files sourced from our custodial data partners.
Partner with members of Sales and Services organisations to drive alignment on project cost estimates and deliverables, and to ensure positive client outcomes.
Develop new/improve existing python scripts and Juptyer notebooks to interact with APIs.
Who You Are3+ years of work experience in the financial investment/advisory/technology industry with strong understanding of capital markets and portfolio accounting.
Proven track record of multitasking and prioritising effectively in a fast paced environment, and experienced in leading cross-functional projects.
Outstanding communication and interpersonal skills for engaging with clients, data providers, as well as internal partners.
Willing to work flexible hours.
Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Salesforce, Python (Jupyter Notebook, Pandas, Requests, etc.), Bloomberg, Thomson Reuters, or other common financial services systems and applications.
Embrace Learning - Engage our community to broaden our perspective.
We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Please contact us to request accommodation.
Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media.
The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals.
Project Analyst - Data / SQL in Edinburgh employer: Addepar
Addepar is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. With a commitment to employee growth, the company offers extensive training and development opportunities, ensuring that team members are equipped to excel in their roles as Technical Success Managers. Located in the vibrant city of London, employees benefit from a diverse and inclusive environment that champions creativity and client success, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Project Analyst - Data / SQL in Edinburgh
✨Get Involved in Data Science Meetups
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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 Addepar.
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We think you need these skills to ace Project Analyst - Data / SQL in Edinburgh
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 Addepar, 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 Addepar. 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 Addepar
✨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 Addepar!
✨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.
