Risk Analyst

4 days ago

Mumbai, Maharashtra, India Drip Capital Full time US$ 80,000 - US$ 1,20,000 per year

About Drip Capital: Drip Capital is a high-growth FinTech focused on the $5T global SME

cross-border trade industry. We offer innovative trade financing targeted at small businesses in

developing markets, providing rapidly growing SMEs with quick and easy access to finance.

With a focus on technology, our vision is to eliminate the hassle of paperwork and bureaucracy

and create a seamless borrowing experience for its customers.

Our team comprises Dripsters from top-tier institutions including Wharton, and IITs. We are

backed by leading Silicon Valley investors - Sequoia, Wing, Accel, and Y Combinator. With a

global presence across India, the US, and Mexico, Drip Capital is headquartered in Palo Alto,

California.

Job Title: Analyst

Location: Andheri, Mumbai

About the Role: We are looking for a motivated and enthusiastic Analyst to join our growing

team. You will play a key role in supporting our data-driven decision-making processes and

collaborate with cross-functional teams to develop insights that help optimize business

operations and drive growth. The role offers an exciting opportunity to work with advanced

analytics tools and frameworks while contributing to high-impact business strategies.

Key Responsibilities:

  • Gather and analyze business data to identify trends, insights, and opportunities to

support decision-making.

  • Develop and track key performance indicators (KPIs) and business metrics to evaluate

product and operational performance.

  • Assist in the creation of business dashboards and visualizations to communicate

insights effectively.

  • Collaborate with product, operations, and other business teams to translate data into

actionable insights.

  • Build and apply basic statistical models, perform data mining, and create predictive

analytics to support business strategy.

  • Help maintain and clean datasets to ensure accuracy and consistency across business

processes.

  • Support in generating regular reports that track business performance, identify

opportunities, and highlight key risks.

  • Learn and contribute to advanced analytics techniques, including machine learning

frameworks like regression and time series modeling.

What we're looking for:

  • Proficiency in SQL and Python for data analysis and model building.
  • Familiarity with machine learning frameworks such as regression models, time series

analysis, and other predictive modeling techniques.

  • Good to have experience with data visualization tools like Tableau, Power BI, or similar

platforms.

  • Proactive and eager to learn, with a strong passion for analytics and problem-solving.
  • Strong analytical acumen with a proven ability to translate complex datasets into

actionable business insights.

  • Exceptional communication and collaboration skills, with experience working in

cross-functional environments.

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