Job Title: Analytics Model Developer
Location: Bangalore/Kolkata
Experience: 7+ years
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Job Title: Analytics Model Developer
Location: Bangalore/Kolkata
Experience: 7+ years
Key Skills: Analytics, Deep ML Modelling, SAS, Python, R
Domain: BFSI – Retails Risk Analytics
Roll description: Seeking an experienced Advanced Analytics Model Developer and this role is essential for developing, implementing, and enhancing advanced analytics models to support data-driven decision-making and risk management within the Wealth and Private Banking sector. The ideal candidate will have strong expertise in Python, deep modeling concepts, and a passion for explaining complex analytical models to various stakeholders.
Key Responsibilities:
- Model Development:
- Develop, implement, and refine advanced analytics models, including Machine Learning (ML), Generalized Additive Models (GAM), and Decision Trees, tailored to Wealth Private Banking and Retail Risk Analytics.
- Utilize Python and R for building models, developing algorithms, and conducting data analysis to optimize business outcomes.
- Translate complex modeling concepts into practical applications by connecting them to vector analytical codes in Python or R.
Data Analytics and Insights:
- Perform data extraction, cleaning, and transformation using Python, R, and other analytical tools to prepare data for model development.
- Collaborate with data engineers and other stakeholders to integrate data from various sources, ensuring high-quality and reliable input for model building.
- Generate actionable insights from modeling results to drive risk management strategies and improve decision-making processes.
Stakeholder Engagement:
- Communicate modeling approaches, results, and their business implications to stakeholders, including non-technical users, business analysts, and senior management.
- Provide guidance and technical expertise to team members and stakeholders in understanding and applying advanced analytics and modeling techniques.
Collaboration and Innovation:
- Collaborate with cross-functional teams to define and prioritize analytical projects that align with business objectives and risk management strategies.
- Stay current with industry trends, emerging technologies, and best practices in advanced analytics, machine learning, and statistical modeling.
Tools and Technologies:
- Leverage your proficiency in Python, R, and other analytical tools to develop and implement models effectively.
- Utilize SAS and other statistical software as needed to support model development and data analysis.
- Identify opportunities to enhance existing models and analytics processes through automation, optimization, and innovation.
Required Qualifications:
- Strong proficiency in Python with demonstrated experience in advanced modeling and data analysis.
- Expertise in Machine Learning (ML), Generalized Additive Models (GAM), Decision Trees, and other statistical modeling techniques.
- Ability to connect and translate modeling concepts into vector analytical codes using Python or R.
- Solid understanding of data structures, algorithms, and software development best practices.
- Excellent communication skills with the ability to explain complex modeling concepts to both technical and non-technical stakeholders.
WHY JOIN CAPCO?
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
We offer:
- A work culture focused on innovation and creating lasting value for our clients and employees
- Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
- A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
- A diverse, inclusive, meritocratic culture
#LI-Hybrid
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