Python
Amazon Web Services (AWS)
Data Analytics
PostgreSQL
Machine Learning (ML)Who are we aka "About Us":
We are an early-stage Fintech Startup - working on exciting Fintech Products for some of the Top 5 Global Banks and building our own. If you are looking for a place where you can make a mark and not just be a cog in the wheel, Baker street Fintech Pvt Ltd (Parent Company) might be the place for you. We have a flat, ownership-oriented culture, and deliver world-class quality. You will be working with a founding team that has delivered over 26 industry-leading product experiences and won the Webby awards for Digital Strategy. In short, a bleeding edge team.
As Cambridge Wealth, we are well-established in the wealth and mutual fund distribution segment, having won awards from BSE Star as well as Mutual Fund houses. Our UHNI/HNI/NRI clients include renowned professionals from various industries.
What are we looking for a.k.a “The JD” :
We are seeking a skilled and detail-oriented Data Analyst to join our product team. As a Data Analyst, you will play a crucial role in extracting, analysing, and interpreting complex financial data to drive strategic decision-making and optimize our data solutions. The ideal candidate should possess a strong foundation in SQL / NoSQL databases, Python programming, and proficiency in tools like PostgreSQL and Excel. A deep understanding of financial concepts is also a plus. Additionally, having an interest in business intelligence tools and machine learning will be valuable for this role.
Responsibilities:
- Proficient in writing complex SQL Queries
- Utilize Python for data manipulation, analysis, and visualisation, using libraries such as pandas, matplotlib, psycopg etc.
- Perform database optimization, indexing, and query tuning to ensure high performance.
- Monitor and maintain data quality, troubleshoot data-related issues, and implement solutions to optimize data integrity and performance.
- Design, configure, and maintain PostgreSQL databases
- Set up and manage database clusters, replication, and backups for disaster recovery
Preferred Qualifications:
- Intermediate-level Excel skills for data analysis and reporting.
- Strong communication skills to present findings effectively and recommendations to both technical and non-technical stakeholders.
- Detail-oriented mindset with a commitment to data accuracy and quality.
*(Only Applicants who have finished their educational commitments are requested to apply)
Not sure whether you should apply? Here's a quick checklist to make things easier. You are someone who:
- Has worked (1-3 years preferably) or is looking to work specifically with an early-stage startup.
- You are ready to be a part of a Zero To One Journey which implies that you shall be involved in building fintech products and process from the ground up.
- You are comfortable to work in an unstructured environment with a small team where you decide what your day looks like and take initiative to take up the right piece of work, own it and work with the founding team on it.
- This is not an environment where someone will be checking up on you every few hours. It is up to you to schedule check-ins whenever you find the need to, else we assume you are progressing well with your tasks. You will be expected to find solutions to problems and suggest improvements.
- You want complete ownership for your role & be able to drive it the way you think is right.
- You can be a self-starter and take ownership of deliverables to develop a consensus with the team on approach and methods and deliver to them.
- Are looking to stick around for the long term and grow with the company.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Cambridge Wealth (Baker Street Fintech)
About
Baker Street Fintech (Product Name: Cambridge Wealth) is a Financial Products Company. We help build world-class Fintech Products for our Clients who want to manage their wealth on our platform. Founded by professionals with Experiences spanning from PwC UK to Banking and Technology firms, we are a financially stable, profitable company growing quickly!
Tech stack
Amazon Web Services (AWS)Python
DjangoPostgreSQL
Postman
Elastic Search
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