COMPANY DESCRIPTION:
ValueAdd Research and Analytics Solutions (ValueAdd) is a growing research and analytics solutions provider. We offer capital markets research, and business strategy and consulting research solutions to global clients including buy-side and sell-side firms, banks and financial institutions, corporations, consulting firms, and private equity & venture capital firms. Our capital markets research solutions include investment banking research, equity research, and fixed income and credit research. And, our business strategy & consulting research solutions include industry analysis, market research, competitor benchmarking, M&A research, due diligence, and primary market surveys.
ValueAdd is one of the fastest growing companies in the research outsourcing space. We believe that our success is measured by client successes, while our competence is measured by the quality of team that runs the show. We also believe that capabilities of human assets virtually have no boundaries, provided it is nurtured in a favorable environment that offers a good combination of challenge, motivation, knowledge, freedom, trust, and fun. Needless to say, we are an equal opportunity employer
WHY VALUEADD?
| A Truly entrepreneurial culture | A 100% client-centric company |
| Democratic decision-making | Open work-culture |
| Accelerated learning | Learning & growing organization |
| Performance-based rewards | You will love your work! |
For more details log on to www.valueadd-research.com
ROLE SPECIFICATIONS:
| Position | Lead Consultant – Data Science and Analytics |
Department | Data Science and Analytics |
| Location | Bangalore | Reporting | Head, Data Science and Analytics |
KEY RESPONSIBILITIES:
Client management:
- Accurate understanding of scope of research assignments/projects
- Meet & surpass the client expectations
- Seek regular feedback from clients’ stakeholders
- Account management
Delivery management:
- Leading a team of data analytics and business domain professionals to design, develop, and implement custom solutions and products for clients and the firm
- Lead analytics engagements involving descriptive, predictive, and prescriptive analytics by using techniques including EDA, data engineering, AI/ML models (e.g., ensemble models), predictive modelling g., Regression, Decision Tree/Machine learning algorithms e.g., Time Series Forecasting, Market Basket Analysis, Clustering (e.g. K- means)/Risk based modelling, Predictive Maintenance, Optimization, principal component analysis, and Monte Carlo simulation
- Manage a team of data science and analytics professionals and domain experts to ideate and implement analytics solutions, products, services to customers
- Responsible for hiring, training & development, KRA setting, and performance management
- Business responsibilities include revenue planning, budgeting, capacity planning, resource allocation, project management, workflow measurement, management reporting, and sales support
- Deliver and achieve 100% client satisfaction
Technical Skills:
- Including Python, R, SQL, Hadoop, Cloud Computing, SAS, Tableau, Power BI, Java, Angular, C++, UI/UX, Statistical and mathematical modeling, and MS Office
Marketing, business development, organization development support
- Support on collaterals and samples
- Contribute towards marketing & thought leadership content
- Sales support includes, prospect identification, preparing project proposals, presentations, and promotional collateral to market solutions to potential customers
Educational, experience, and skills requirements:
- Graduate/post-graduate or equivalent in statistics, applied mathematics, financial mathematics/econometrics, engineering, operations research, computer science, or another highly technical or quantitative field. A professional master’s degree would be
- Around 8 years of experience in data analytics, software development, preferably in financial services industry. Proven experience in live implementation of data analytics services or products, of which at least one should be at an onsite location (outside India)
- You should have at least 2 years of team management or people management experience managing data analysts
- Hands-on experience on AI/ML technologies, predictive modeling using various models, deep learning, mathematics and statistical tools
- Strong experience and understanding of banking, lending, Fintech, equity and credit analysis, stock and bond investing, wealth management and financial services is mandatory
- Experience in other sectors such as CPG, healthcare, Tech-enabled services, Automotive, and Retail would be preferred
- Proven experience and expertise in the required technical skills is a must. Must have worked in the cloud environment
- Strong problem-solving approach and analytical skills, including critical thinking and the ability to integrate/analyze data and bring out insights
- Ability to work on tight deadlines, communicate effectively across hierarchies (including CXOs), and work under pressure
- Good interpersonal skills, including the ability to work both independently and as a member of a Travel-ready
- Analytical, ethical, detail oriented, and self-motivated
Others:
- Proven client management skills
- Strong team player
- Strong professional ethics and business etiquettes
