The Job logo

What

Where

Senior Data Scientist - Finance Analytics

ApplyJoin for More Updates

You must Sign In before continuing to the company website to apply.

Smart SummaryPowered by Roshi
We are looking for a self-starter and highly collaborative individual with 5+ years of relevant experience in data processing and fluency in complex SQL. As a Data Engineer, you will work with Product and Engineering teams to drive new initiatives and support new product launches. Your responsibilities will include collaborating with stakeholders across Accounting and Treasury functions to extract financial data and provide data-driven recommendations for enhanced efficiencies. Additionally, you will design and scope project plans, develop data pipelines and models, and build interactive dashboards to present financial insights. We value clear communication, positive energy, continuous learning, acting like an owner, and efficient execution. A Bachelor's Degree in Financial Engineering or Computer Science is required.

What you’ll be doing (ie. job duties):

  • Work with Product and Engineering to drive new initiatives, supporting new product launches fuelling business growth
  • Collaborate with stakeholders across Accounting, Treasury and other Finance functions, to extract financial data and insights, and provide data driven recommendations to enhance efficiencies for financial processes
  • Act as a strategic partner to functional teams; design and scope project plans; execute, test and implement data and reporting solutions
  • Initiate, develop and maintain data pipelines and data models that power dashboards and data products with outstanding craftsmanship
  • Work with the broader Data and Engineering teams to find ways to scale our platform through better systems and automation
  • Develop interactive dashboards and visualisations to present financial insights to stakeholders
  • Partner with peers and stakeholders to define and execute roadmaps that can help the function scale

What we look for in you (ie. job requirements):

  • 5+ years of relevant experience
  • Self starter, has the ability to multitask, and highly collaborative in working with cross functional teams
  • Strong Experience with data processing (ETL), fluency in complex SQL and high proficiency with scripting language(preferably Python)
  • Experience building data pipelines 
  • Experience using Apache Airflow or similar orchestration systems
  • Strong understanding of key finance principles, products within Accounting and Treasury domain and eagerness to learn 
  • Be able to independently create documentation for new data projects and requests, and build collaboration within the team.
  • Demonstrate our core cultural values: clear communication, positive energy, continuous learning, act like an owner and efficient execution.
  • Bachelor’s Degree in Financial Engineering, Computer Science or equivalent practical experience

Nice to haves:

  • Previous experience working with financial services data is a plus
  • Previous working experience or knowledge of crypto is a plus
  • Domain experience in Accounting and Finance areas
  • Experience with Looker, Tableau or other business intelligence platforms
  • Be able to proactively manage prioritisation of work
  • Experience manipulating large amounts of structured and unstructured data
Set alert for similar jobsSenior Data Scientist - Finance Analytics role in Gurgaon, India, Bengaluru, India, Chennai, India, Hyderabad, India, or Pune, India
Coinbase Logo

Company

Coinbase

Job Posted

10 months ago

Job Type

Full-time

WorkMode

Remote

Experience Level

3-7 Years

Category

Finance

Locations

Gurgaon, Haryana, India

Bengaluru, Karnataka, India

Chennai, Tamil Nadu, India

Hyderabad, Telangana, India

Qualification

Bachelor

Applicants

Be an early applicant

Related Jobs

Caterpillar Inc. Logo

Data Scientist II

Caterpillar Inc.

Chennai, Tamil Nadu, India

Posted: 10 months ago

Join Caterpillar Inc, a global team dedicated to creating stronger, sustainable communities. Contribute to data gathering, mining, and processing to support business decisions. Create visualizations and present business insights to management. Improve data analysis accuracy and optimize models. Knowledge of PowerBI, Tableau, Snowflake, Oracle is required. Analytical thinking, attention to detail, and programming skills (SAS, Python) are necessary.