Senior Business Analyst (Financial Data ) - B2B SaaS Fintech
Pune, Maharashtra, India
Landytech
Landytech provides you with consolidated data and automated reporting, so you can make informed investment decisions and deliver insights - faster.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 almost 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
Our Integration Product team is the gateway through which every piece of custodial, market and third-party data flows into the platform. We cover the full spectrum of instrumentsāfrom equities and fixed income to complex OTC derivatives, structured products and private assetsābut our focus is on how that data is ingested, mapped and transformed so it is ready for analytics at scale.
As the teamās Senior Business Analyst for ETL and integrations, you will sit at the intersection of Product and Engineering.
What Youāll Do
- Act as the teamās lead representative, analysing reporting across all asset classes and translating findings into comprehensive mapping, validation, and transformation rules.
- Partner with Product Managers and Engineers to scope, refine, and test new integration featuresāparticularly ETL tooling, monitoring dashboards, and data-processing automations.
- Own business-critical data-ingestion and processing workflows, ensuring they are managed effectively and reliably.
- Define and measure KPIs for data completeness, timeliness, and accuracy; build dashboards to track and communicate progress.
- Collaborate with internal stakeholders to meet client-delivery targets, provide transparency, and manage expectations.
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Skills and Expertise
- You have fluent English and strong communication skills, enabling clear and effective collaboration.
- You have a bachelorās or masterās degree in finance, statistics, mathematics applied to finance, or an equivalent field; FRM or CFA certification is a plus.
- You bring 3+ years of experience in a similar role, demonstrating your expertise and readiness to contribute.
- You have strong knowledge of financial datasets and financial instruments, including derivatives.
- You are proficient in financial data analysis. Experience in Python, SQL and/or Excel is a plus.
- You pay outstanding attention to detail, ensuring accuracy and precision in your work.
- You are eager to thrive in a dynamic start-up environment, bringing energy and adaptability to the team.
- You are a highly driven self-starter, motivated to take initiative and deliver results independently.
- This role plays a pivotal part in driving growth and ensuring effective collaboration with key departments, such as Client, Development, and Product teams. A strong passion for data and finance, keen attention to detail, and a proactive approach are essential. The position involves taking ownership, making impactful decisions, and solving complex challenges creatively. Technical expertise is vital for meeting business needs, streamlining processes, and achieving tangible results. This is an excellent opportunity to merge financial and technical skills while making a meaningful contribution to the organizationās success.
Our Benefits
- An opportunity to work in a fast-growing fintech revolutionizing investment reporting
- Regular socials and being part of an international team with an HQ in London, UK and office in Paris, France as well
- Hybrid style of work/ 2 days working from our office in Pune, India Private medical insurance for you and your family members.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Data analysis Engineering ETL Excel Finance FinTech KPIs Mathematics Python SQL Statistics
Perks/benefits: Health care Startup environment Transparency
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