Landytech

Landytech is on a mission to revolutionize the way that investment managers, asset owners and their advisors access asset information. Powered by Sesame, an industry-leading investment reporting platform, we are helping clients in over 15 countries make informed investment decisions and deliver insights faster. The company is growing rapidly and it's an exciting time to join, having secured $12M in Series B funding in January 2023. In just four years, it has gone from two co-founders to a team of 100+ staff, with offices in London and Paris. At Landytech, we see diversity as our strength with a team from over 15 countries and 14 languages spoken. Team & Role We are seeking a Senior Business Analyst to join our analytics & reporting agile team building innovative fintech products. You will leverage your expertise with financial analytics and financial data to inform strategic analysis and decision-making processes for a team focused on enhancing our B2B SaaS solutions. What We Are Looking For You will be collaborating with product owners and designers to align the needs of our customers, Services Team, and Sales Team with product roadmaps. Your role will span from ideation through to delivery You will be working actively within cross-functional agile teams to ensure effective project management and product development You will be maintaining strong relationships with customer facing teams and participate in customer-facing meetings as required You will be acting as a subject matter expert on investment performance, attribution, and risk reporting for private and institutional clients You will be gathering, analyzing, and documenting business and functional requirements for product features, enhancements, and client reporting capabilities, within the area of investment analytics You will be collaborating closely with the Engineering and Analytics Teams to ensure alignment of metrics, performance data, and attribution logic You will be leading workshops with internal and external stakeholders to capture requirements and validate solutions You will be bridging business goals with technical implementation, ensuring consistent delivery of high-impact reporting tools Your Skills & Expertise 3-5 years experience working as a Business Analyst or equivalent role ideally for a B2B software product You have a degree in Computer Science, Mathematics, or any stem subject You have demonstrated experience working on investor reporting platforms, client portals, or performance dashboards You have strong analytical skills, preferably with demonstrable experience in financial modeling and data analysis You have a strong knowledge of performance measurement, performance attribution methodologies, and investment accounting (Eg GIPS standards) You are familiar with institutional risk systems and models - particularly MSCI RiskMetrics and BarraOne a strong plus You have strong analytical and communication skills; ability to influence stakeholders and translate complex requirements clearly You have experience with data visualization/reporting tools (e.g. Tableau, Power BI, Looker) You have SQL or data querying experience to support analysis and validation You are fluent in English Our Benefits An opportunity to work in a fast growing fintech revolutionizing investment reporting Hybrid style of work/WFH allowed depending on role Competitive salary & stock options package Private medical insurance with Bupa for you and your family members Life insurance option Pension Plan with NEST Cycle to Work Scheme and gym allowance Office food & drinks, regular socials If this sounds like a match to you, we are looking forward to receiving your application!

LandyTech is a young Fintech based in Central London and Paris. We are providing interactive reporting and analysis solutions for clients in the financial sector such as asset managers, family offices and various fiduciaries. Our innovative B2B SaaS solution provides disruptive and user-friendly analyses to our clients. Built on the latest cloud infrastructure and platform solutions, we are empowering asset owners and giving them access and insights on their investments like they never experienced before. Our company is well funded and we are hiring to support our strong growth. This is a great opportunity to join the company at an early stage with attractive compensation and responsibilities. Our Technical Stack: We focus on using open source technologies and we love to build reliable and elegant solutions. Here are some of the technologies used at Landy Tech: Infrastructure & Service: Azure Cloud, Azure DevOps (CI and Management), Kubernetes, Docker, Cloud Storage, Messaging/Events/Queues, Git, SonarQube Backend: Kotlin, Java, Python, Spring Boot & Co, SQL/NoSQL, Elastic, Gradle, JPA Frontend: React, TypeScript, Webpack/Snowpack, Enzyme About the role: As the first hire in our Quant & Data Science team, you will be in charge of building many tools, solutions and processes. Your role will require to work with our developers and data engineers with significant embedding time with our Stats development team. Your responsibilities will first cover all aspects of algos scripting for our analytical services including portfolios performance, statistics, risk and any others computations. You will be required to spec algorithms and deliver them to developers as well as developing data testing, documentation and data lineage. You will also participate in the product design of features that involve any quantitative or data science requirements such as liquidity modules, risk modules, performance analysis and other regulatory, compliance, client or bespoke requirements. You will assist Professional Services team on complex client requirements. You and the growing team will provide algos and research to developers on various critical topics including validation modules, exception reports along with machine learning/AI for data capture from structured or unstructured datasets. You will act as the Subject Matter Expert on "All Things Quant" and work alongside marketing team to write white papers or ebooks. Requirements: PhD or Master's degree in Statistics, Economics, Mathematics, Finance Strong knowledge of financial instruments, risk management, portfolio and performance analysis 4+ years of experience in a financial quant analyst or data science position Self-starter and autonomous Strong expertise in applied programming (Python) Experience with Numpy, Panda, Flask Knowledge of SQL and no-SQL databases Great attention to details, self-starting individual with motivation to work in an innovative start-up Experience with BI tools (Tableau, Power BI) a plus If it feels like you will fit in, please apply, we are willing to meet you! - Private Medical Insurance Flexi-working Snacks & Drinks Telephone call Tech Interviews 2x Call with Management Offer! Python, Numpy, ScikitPython, SaaS