Associate Product Strategy

As an **Associate Product Strategy - Lending and Enterprise AI **, you will play a pivotal role in shaping the future of our Lending and Enterprise AI solutions. You will be responsible for conducting in-depth research on Lending solutions and AI : Competitor products, market trends, and technological advancements. Your insights will drive product development, innovation strategies, and overall product roadmap. This role requires a deep understanding of AI, lending processes - Corporate and Retail, and financial services, coupled with a passion for driving innovation through data-driven insights.

**Key Responsibilities**:

- **Competitive Analysis**:

- Conduct in-depth research on competitor products, platforms, and innovations in the lending space and AI
- Benchmark competitors on key metrics such as features, pricing, market penetration, AI capabilities, and regulatory compliance.
- Analyze competitors' go-to-market strategies, customer base, and partnerships to identify strengths, weaknesses, and opportunities.
- Stay up-to-date with emerging trends in AI, machine learning, and fintech related to corporate lending.
- **Market Intelligence**:

- Track and report on emerging trends and technologies in enterprise AI, corporate credit risk assessment, and loan origination.
- Identify new entrants and disruptive technologies that could impact the competitive landscape.
- Synthesize industry reports, regulatory updates, and technological advancements to support strategic decision-making.
- **Product Insights and Recommendations**:

- Translate competitive research into actionable insights for product management, engineering, and leadership teams.
- Recommend strategic product improvements, feature developments, or pivots based on competitor positioning.
- Assist in the development of competitive differentiators to enhance the company’s AI and lending offerings.
- **Collaboration and Reporting**:

- Collaborate with product managers, data scientists, and business teams to integrate competitor insights into the product development process.
- Produce regular reports on competitor activities, product updates, and market shifts to inform internal stakeholders.
- Present research findings to senior leaders, product teams, and cross-functional teams to guide product strategy and innovation.
- **Data Analysis**:

- Utilize data analytics tools to monitor and assess competitor product performance, AI model effectiveness, and customer feedback.
- Evaluate user experience, technological stacks, and AI model maturity of competitors’ solutions.
- Collect and analyze quantitative and qualitative data to identify gaps in the market that the company’s AI solutions can exploit.

**Required Qualifications**:

- Bachelor’s degree in Technology, or a related field. Advanced degree (Master’s/PhD) in Product Management, Strategy, ML& AI or any other relevant field is preferred.
- Atleast 6 months of experience in product research, market intelligence, or competitive analysis in AI-driven financial services, fintech, or enterprise technology.
- Strong knowledge of corporate/retail lending processes, enterprise AI, and emerging fintech trends.
- Proven experience in competitor analysis and market research in AI and financial technology sectors.
- Ability to synthesize complex information and trends into clear, concise research reports and recommendations.
- Strong analytical skills with experience in data analysis, AI model evaluation, and competitive intelligence frameworks.
- Excellent written and verbal communication skills, with the ability to present research insights to diverse audiences.
- Familiarity with market research tools, databases, and competitor analysis methodologies (SWOT, PESTLE, etc.).
- Experience with financial regulations and compliance standards affecting AI products in corporate lending is preferred.