Data Scientist
Data Scientist
Posted on :
27-03-2025
Employer Active
1 Vacancy
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Job Description
At FYERS our mission is "to Empower Newage Traders & Investors with the bestinclass technology and platform".
We are a bootstrapped company led by our founders who are extremely passionate about creating bestinclass value to our diverse customers employees and communities.
If you are passionate creative and would like to grow with us in this journey then please apply with your latest profile which will help us review fitment and connect.
Why Join Us:
Immerse yourself in the dynamic world of capital markets.
Shape the future of digital finance by working on groundbreaking projects.
Collaborate with a diverse team of experts and visionaries.
Elevate your career with continuous learning and growth opportunities.
Requirements
Key Responsibilities
- Design and develop AI architectures that support highimpact applications in capital markets including predictive analytics algorithmic trading risk management and financial modelling.
- Drive endtoend development of AIdriven solutions aimed at disrupting market standards challenging conventional practices and creating unparalleled customer experiences.
- Proven expertise in understanding and working with cuttingedge Large Language Models (LLMs) with practical experience in deploying and managing these models in live production environments.
- Work closely with trading quantitative research engineering and other teams to define requirements identify opportunities and deliver cuttingedge solutions.
- Ensure AI models are optimized for speed accuracy and scalability maintaining high standards in realtime decisionmaking scenarios.
- Stay ahead of the latest advancements in AI machine learning and financial technologies. Identify opportunities to apply emerging technologies in a way that gives the company a competitive advantage.
- Implement and adhere to industrystandard risk management and compliance practices when developing AI systems with a strong focus on ethical AI.
Qualifications
- Master s in Computer Science Data Science Machine Learning or a related field.
- Minimum of 4 years of experience in AI and machine learning.
- Proven expertise in machine learning deep learning NLP LLM and reinforcement learning.
- Proficiency in Python R and SQL; experience with AI/ML frameworks such as TensorFlow PyTorch ScikitLearn.
- Good knowledge and understanding of financial instruments trading algorithms market micro structure and economic indicators.
- Familiarity with big data technologies (e.g. Spark Hadoop) and cloud platforms (AWS Azure).
- Proven ability to identify complex business problems and develop datadriven AIpowered solutions that drive business value.
- Inclination to understand capital markets investment strategies and financial market dynamics.
- Passion for creating groundbreaking products that redefine the industry and commitment to challenging established market norms.
Benefits
Imagine joining a team where your wellbeing is paramount offering you full access to fitness facilities virtual medical consultations and flexible leave options. Enjoy the peace of mind with toptier group medical coverage robust personal accident protection and extensive term life insurance for you and your family. Celebrate your successes with individual and team awards in a culture that values trust and openness ensuring your achievements are always recognized. Elevate your career with our clear advancement pathways internal mobility options and leadership development programs. Thrive in an environment that not only supports your professional growth but also prioritizes your overall wellness and happiness.
Talent Acquisition Team
We are
Great Place to Work Certified
Recognized by Great Place to Work India
Role Overview: The CRM / CLM lead will spearhead customer relationship and lifecycle management strategies to drive customer acquisition, engagement, retention, and profitability. This role will involve the design, implementation, and optimization of systems and processes to enhance customer experience and maximize customer lifetime value (CLV). Key Responsibilities: Strategy Development and Develop and implement comprehensive CRM and CLM strategies aligned with the organization s business goals. Lead initiatives to optimize customer segmentation, targeting, and engagement across various channels. Analyze customer journeys to identify pain points and areas for improvement in client interactions. Technology and Systems Oversee the selection, deployment, and management of CRM pla orms and tools. Collaborate with IT and Data Analytics teams to integrate CRM systems with other pla orms for seamless customer data management. Ensure data accuracy and integrity across CRM systems while maintaining compliance with data protection regulations. Customer Engagement and Retention Design and implement personalized campaigns to improve customer satisfaction, loyalty, and retention. Monitor customer behavior and develop strategies for proactive engagement to prevent churn. Foster a culture of customer obsession across the organization. Performance Analysis and Reporting Set KPIs and performance metrics for CRM and CLM initiatives. Analyze data to measure the effectiveness of customer lifecycle strategies and provide actionable insights. Prepare detailed reports and present findings to senior management. Key Requirements: Education: Bachelor's degree in Business Administration, Marketing, Finance, or a related field. A Master s degree is preferred. Experience: 7 10 years of experience in CRM, CLM, or related roles within the financial services or stockbroking industry. Strong knowledge of customer relationship management pla orms (e.g., Clever Tap , Zoho, HubSpot) and data analytics tools. Proven ability to design and implement data-driven customer lifecycle strategies. Deep understanding of stockbroking or financial services industry dynamics, regulations, and customer behavior Core Competencies Customer-Centric Mindset: Demonstrated ability to place customers at the core of all decisions. Analytical Thinking: Strong problem-solving and data interpretation skills. Communication: Exceptional written and verbal communication skills. Leadership: Experience leading cross-functional teams and driving organizational change. Tech Savviness: Proficiency in leveraging technology for customer engagement and lifecycle management. If you are passionate, creative and would like to grow with us in this journey, then please apply with your latest profile which will help us review fitment and connect.
Employment Type
Full Time
Key Skills
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