Associate Product Strategy
5 days ago
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.
- Strong understanding of AI/ML technologies and their applications in corporate lending (e.g., credit scoring, loan origination, risk management).
- 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.
- Understanding of the AI product development lifecycle and its application in enterprise software solutions is preferred.
Tell employers what skills you have
Market Research
Competitive Analysis
Risk Assessment
Data Analysis
Regulatory Compliance
Loan Origination
Artificial Intelligence
User Experience
SWOT
Strategy
Product Management
Enterprise Software
Market Intelligence
Competitive Intelligence
Data Analytics
Credit Risk
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