Research Scientist

Location: Bengaluru, Karnataka, India | Experience: Mid Level (3–6 years)

About the Company

Our company operates in the banking and financial services ecosystem, using technology, data, and disciplined problem solving to improve how financial products and services are designed and delivered. The organization is building a research-oriented environment where rigorous analysis can inform practical decisions, strengthen customer outcomes, and support responsible innovation. The company’s vision is to create meaningful impact through focused execution, domain understanding, and continuous improvement. This role sits at the intersection of scientific thinking and real-world banking needs, giving researchers the opportunity to work on questions that influence products, processes, risk management, and user experiences. Team members are expected to be curious, evidence-led, and comfortable moving from ambiguity to useful insight. The organization values clear communication, collaboration across technical and business teams, and solutions that can be measured after implementation. By joining, you will contribute to a growing technology-driven business while helping establish research practices that are relevant, scalable, and connected to measurable outcomes.

About the Role

As a Research Scientist, you will own the investigation of complex problems relevant to banking, data, and technology. You will frame research questions, design robust experiments, analyze evidence, and convert findings into recommendations or deployable solutions. The role requires close partnership with engineering, product, risk, and business stakeholders so research creates measurable value rather than remaining theoretical. You will work across the research lifecycle, from problem definition and literature review through prototyping, validation, documentation, and adoption. Success means producing reliable insights, improving decision quality, and helping the organization develop differentiated capabilities. You should be comfortable operating with incomplete information, explaining technical conclusions to varied audiences, and balancing scientific rigor with delivery constraints. This is an opportunity to shape both the methods and the practical impact of research within a technology-led banking environment.

Key Responsibilities

• Own research projects from problem framing through validation, using structured hypotheses, experimental design, and evidence-based recommendations to improve banking products, processes, risk decisions, or customer outcomes.
• Build and evaluate analytical or computational models, selecting appropriate methods and measurement frameworks so stakeholders can understand reliability, limitations, and expected business impact before adoption.
• Translate ambiguous business questions into research plans, datasets, experiments, and prototypes that create a clear path from scientific investigation to scalable implementation by product or engineering teams.
• Partner with engineering, product, risk, and business teams through reviews and working sessions, ensuring research outputs are relevant, technically feasible, and connected to measurable operating or customer outcomes.
• Establish reproducible workflows for data preparation, experimentation, documentation, and reporting, improving research quality, auditability, knowledge transfer, and the speed at which future teams can build on prior work.
• Communicate findings through concise reports, presentations, visualizations, and technical documentation, enabling senior stakeholders to make informed decisions despite uncertainty, trade-offs, or incomplete evidence.
• Monitor emerging research, methods, and technologies relevant to financial services, assessing their practical usefulness and recommending focused opportunities for experimentation, capability building, or competitive differentiation.

Essential Skills & Technologies

• Strong foundation in statistics, machine learning, mathematical modeling, experimental design, or a related research discipline, with the ability to select methods appropriate to the question and available evidence.
• Hands-on programming experience in Python, R, or comparable languages, plus practical capability with data manipulation, analysis, visualization, model evaluation, and reproducible computational workflows.
• Experience working with structured or unstructured datasets and translating analytical results into clear conclusions, documented assumptions, and recommendations that technical and non-technical stakeholders can act upon.
• Familiarity with research literature, scientific writing, hypothesis testing, and rigorous evaluation practices, including identifying bias, leakage, uncertainty, limitations, and opportunities for further investigation.
• Strong communication and collaboration skills, with the ability to explain complex concepts simply, challenge assumptions constructively, and align research priorities with product, engineering, risk, and business objectives.

Additional Plus

• Exposure to banking, financial services, payments, credit, fraud, risk, compliance, or other regulated environments where analytical decisions require strong controls, interpretability, and attention to responsible use.
• Experience taking research prototypes into production through collaboration with software, data engineering, MLOps, or platform teams, including awareness of deployment, monitoring, versioning, and maintenance considerations.
• Publications, patents, conference contributions, open-source work, or a demonstrated record of independently developing novel methods and communicating their practical relevance to a broader technical community.

What You'll Bring

• You bring a research mindset grounded in curiosity, rigor, and practical judgment, allowing you to explore difficult questions while keeping attention on the decision, product, or customer outcome the work must ultimately improve.
• You can structure ambiguity into testable questions, prioritize the highest-value investigations, and make sound methodological choices without losing momentum when data, time, or operational constraints are imperfect.
• You are comfortable owning work independently while inviting challenge from peers and stakeholders, using feedback to strengthen assumptions, improve experiments, and make conclusions more useful to the teams responsible for implementation.
• You communicate with precision and empathy, adapting technical depth to the audience and making uncertainty visible rather than overstating confidence. Your documentation enables others to reproduce, evaluate, and extend your work.
• You care about responsible innovation in banking and understand that reliable research must account for fairness, privacy, security, explainability, and the consequences of decisions made using analytical systems.
• You are motivated by learning and can stay current with relevant scientific developments while distinguishing promising ideas from methods that are not yet suitable for the organization’s data, controls, or operating context.

Why Join Us

• Work on research problems connected to banking and technology, with a direct opportunity to turn scientific insight into better products, stronger decisions, and measurable customer or business outcomes.
• Collaborate across research, engineering, product, risk, and business teams, gaining broad exposure to how rigorous methods are translated into solutions within a technology-led financial services environment.
• Help shape the organization’s research culture, standards, and reusable capabilities while developing your own depth across applied science, responsible innovation, and practical delivery.

What We Offer

• A hybrid working model that supports focused research time while preserving the collaboration required for experiments, reviews, stakeholder alignment, and implementation planning.
• Meaningful ownership of research initiatives, with the opportunity to influence priorities, methods, and how evidence informs products, processes, risk practices, and customer outcomes.
• A collaborative environment connecting scientific, technical, and business perspectives, enabling continuous learning and exposure to the full path from research question to operational impact.
• A competitive annual compensation range of ₹18–28 LPA, alongside the opportunity to contribute to an evolving research capability within the banking and technology domain.