Position:
Data Scientist (Credit)
Company:
Revolut
Location:
Bangalore, India
Sao Paulo, Brazil
Remote: Brazil, India
Job Type:
Full-time
Job Mode:
Hybrid/Remote
Job Requisition ID:
Not specified
Years of Experience:
Relevant experience in a data science team within a credit institution (even internship works)
Company Description :
Revolut is a global fintech company dedicated to revolutionizing financial services by offering innovative products that provide enhanced visibility, control, and freedom over personal finances.
Since its inception in 2015, Revolut has expanded rapidly, serving over 50 million customers worldwide with products covering spending, saving, investing, exchanging, and travel.
The company attributes its success to a culture of excellence, innovation, and commitment to providing seamless financial solutions.
Revolut has a workforce of over 10,000 professionals operating from offices worldwide and remotely, driving the company’s mission forward.
Recognized for its outstanding work culture, Revolut is certified as a Great Place to Work™, demonstrating its dedication to employee satisfaction and professional growth.
The company thrives on diversity, inclusivity, and a high-performance work environment, making it a sought-after employer in the fintech sector.
Revolut is committed to disrupting traditional financial services through data-driven solutions, automation, and cutting-edge technology.
The company fosters a work environment where employees are encouraged to push boundaries, innovate, and redefine the landscape of modern finance.
With a strong emphasis on results, collaboration, and personal growth, Revolut empowers its employees to make a tangible impact on the industry.
Profile Overview :
The Data Science team at Revolut is a critical force driving the company’s success through data-driven decision-making and automation.
As a Data Scientist specializing in Credit, you will be responsible for building and improving models that span the entire retail credit lifecycle.
The role requires working closely with product managers, engineers, and fellow data scientists to deliver impactful solutions that enhance Revolut’s credit offerings.
Responsibilities include analyzing vast datasets, developing machine learning algorithms, and implementing solutions that adapt and improve over time.
The ideal candidate will have a strong background in probability, statistics, and data science tools such as Python, SQL, and production technologies.
You will be expected to research and deliver proof-of-concept (PoC) solutions that drive product development and efficiency.
This role provides an opportunity to solve complex financial problems, influence product strategies, and contribute to Revolut’s mission of financial empowerment.
The Data Science team operates with high visibility, ensuring that contributions have a direct impact on business outcomes and customer experiences.
By joining this dynamic team, you will be part of a forward-thinking, fast-paced environment where innovation and excellence are paramount.
Qualifications :
Educational background in a STEM field (Mathematics, Computer Science, Engineering, or related disciplines), preferably with a Bachelor's, Master’s, or Ph.D.
Proficiency in data science tools, including Python for coding, SQL for database management, and production tools for deployment.
Strong grasp of probability and statistics, with the ability to apply mathematical concepts to solve real-world financial problems.
A problem-solving mindset with the ability to diagnose challenges, conduct in-depth research, and devise innovative solutions.
Excellent communication and collaboration skills to effectively work with Product Owners, engineers, and business stakeholders.
Ability to build machine learning models tailored to retail credit solutions, ensuring data-driven decision-making within the company.
Capacity to work in a high-paced, innovative environment where experimentation, iteration, and continuous learning are encouraged.
Understanding of financial products and lending principles, with a keen interest in revolutionizing the fintech industry.
Passion for leveraging data science to optimize financial products and improve customer experiences through automation and intelligent algorithms.
Additional Info :
Revolut values diversity and inclusion, ensuring that all employees have equal opportunities to thrive and contribute to its mission.
The company encourages applications from individuals with diverse backgrounds, experiences, and perspectives.
Revolut has implemented a Diversity & Inclusion Framework aimed at fostering a multicultural and dynamic workplace.
Job seekers should be cautious of recruitment scams and only apply through official Revolut channels.
Communications related to hiring are conducted exclusively through official Revolut email domains (@revolut.com).
Revolut does not request any financial information or payment from candidates at any stage of the hiring process.
Candidates should report any suspicious hiring activities that deviate from these guidelines.
By applying for this position, applicants confirm that all submitted information is accurate and that any false statements may result in application rejection or employment termination.
Revolut offers a range of benefits, including financial perks, remote work flexibility, and professional growth opportunities.
Employees enjoy access to exclusive perks, such as a free Revolut Metal subscription and year-round team-building events.
The company fosters a performance-driven culture where results, resilience, and excellence are highly valued.
Revolut operates on principles such as grit, determination, and strategic thinking, ensuring that employees are empowered to excel and contribute to the company’s success.
Key Responsibilities:
Credit Model Development:
Build predictive models covering the full lifecycle of retail credit.
Enhance existing algorithms and develop new proofs of concept (PoCs) for credit-related data science applications.
Conduct rigorous testing and validation of credit models to ensure accuracy and efficiency.
Data-Driven Product Enhancement:
Implement data-driven solutions that directly impact Revolut’s financial products.
Collaborate with product teams to integrate credit risk insights into business strategies.
Utilize advanced data analytics to optimize lending and credit evaluation processes.
Research and Innovation:
Conduct deep data analysis to understand customer behaviors and improve credit solutions.
Design and test machine learning models that evolve and self-improve over time.
Stay updated with industry trends and emerging technologies in fintech and credit modeling.
Cross-Functional Collaboration:
Work closely with engineers, product managers, and data scientists to solve complex problems.
Provide strategic recommendations based on data insights to drive business growth.
Ensure smooth communication between technical and non-technical teams.
Company Culture and Values:
Get It Done:
Revoluters prioritize results over excuses, demonstrating resilience and determination to overcome challenges.
Deliver WOW:
The company values customer-centric innovation, creating solutions that simplify financial management and enhance user experiences.
Dream Team:
Revolut focuses on hiring, coaching, and retaining top talent while fostering a supportive and high-performance work environment.
Never Settle:
Employees strive for excellence, continuously improving and pushing boundaries in their respective domains.
Think Deeper:
Decision-making is based on logic, reason, and thorough analysis, ensuring well-informed and effective strategies.
Benefits at Revolut:
Competitive financial benefits recognizing employee contributions and dedication.
Flexible work arrangements, including remote work opportunities and office-based options.
Complimentary Revolut Metal subscription, offering exclusive perks and benefits.
Access to networking and team-building events throughout the year.
A culture that promotes continuous learning, professional development, and career advancement.
By joining Revolut, you will be part of a forward-thinking company that values innovation, excellence, and data-driven decision-making. If you have a passion for leveraging data science in the fintech industry, this role provides an exciting opportunity to make a real impact on the future of financial services.
Please click here to apply.
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