What Jobs are available for Analysts in Delhi?

• Work on challenging data science projects from data collection and cleaning to model development and deployment.
• Gain exposure to a wide range of data science tools and technologies, including Python, R, SQL, and various machine learning libraries.
• Receive mentorship from senior data scientists, who will guide your learning and career development.
• Participate in workshops and training sessions covering essential data science concepts and techniques.
• Collaborate with cross-functional teams in a dynamic, remote-first environment.
• Develop skills in data visualization, statistical analysis, and machine learning algorithms.
• Contribute to the development of data-driven insights that inform business decisions.
• Understand the ethical considerations and best practices in data science.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Strong foundational knowledge of statistics, probability, and calculus.
• Proficiency in at least one programming language, preferably Python or R.
• Familiarity with database concepts and SQL is a plus.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.
• Eagerness to learn and adapt in a fast-paced remote setting.
• Must be legally authorized to work in the specified region (though the role is remote).

Company Overview

At Talent Nexa Consulting, we specialize in sourcing top-tier talent for tech-driven companies, focusing on technology and product leadership hiring. We provide customized hiring solutions, ensuring a perfect cultural alignment across industries such as AI & Machine Learning, Cloud Computing, and E-commerce. Our mission is to connect exceptional talent with the right opportunities, optimizing teams for tech success. Headquartered in Noida, we pride ourselves in transforming possibilities into realities through strategic, personalized recruitment.

Job Overview

We are seeking a highly experienced Director of Data Science to join our dynamic team remotely. This senior-level position, based in Delhi, requires a candidate with 12 to 15 years of experience. The role involves leading data science initiatives and driving innovation within the company and for our clients. The successful candidate will demonstrate expert proficiency in deep learning and development of large language models.

Qualifications and Skills

• Experience in deep learning with a proven track record (Mandatory skill).
• Expertise in LLMs, with a deep understanding of their architecture and application (Mandatory skill).
• Proven research skills with a strong background in theoretical and applied methodologies (Mandatory skill).
• Proficiency in Retrieval-Augmented Generation (RAG) techniques and their implementation in complex projects.
• Extensive experience in data science, including knowledge of modern approaches and frameworks.
• Strong proficiency in TensorFlow and PyTorch for developing and deploying scalable models.
• Ability to strategically manage and lead a team to achieve data-driven goals and innovative solutions.
• Excellent communication skills for effective collaboration with cross-functional teams and stakeholders.

Roles and Responsibilities

• Lead the data science department, driving strategic initiatives and aligning with the company's business goals.
• Develop and enhance AI models using deep learning techniques and large language models.
• Collaborate with engineering and product teams to integrate data-based innovations into products and services.
• Implement best practices and advancements in data science to improve decision-making procedures.
• Ensure proper utilization of data science tools and platforms to generate business insights and enhance performance.
• Oversee research activities to explore new methodologies and improve existing strategies in data science.
• Mentor and nurture a team of data scientists, encouraging professional growth and knowledge sharing.
• Communicate complex data concepts in clear terms to non-technical stakeholders and executive management.

• Design, develop, and deploy scalable data pipelines and ETL processes using Python.
• Build, train, and optimize machine learning models for various applications.
• Develop and maintain APIs for data access and model serving.
• Collaborate with data scientists to implement and productionize statistical models and algorithms.
• Optimize data infrastructure and code for performance, scalability, and reliability.
• Implement data warehousing solutions and database management strategies.
• Ensure data quality, integrity, and security across all systems.
• Write clean, well-documented, and maintainable code.
• Participate in code reviews and contribute to architectural design discussions.
• Stay current with advancements in Python, data science, machine learning, and cloud technologies.
• Mentor junior engineers and share best practices in software development and data engineering.

• Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field, or equivalent practical experience.
• 5+ years of professional experience in Python development, with a strong focus on data-intensive applications.
• Extensive experience with data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Proficiency in SQL and experience with various database systems (e.g., PostgreSQL, MySQL, NoSQL).
• Experience with cloud platforms (AWS, Azure, GCP) and related data services.
• Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Excellent problem-solving skills and the ability to work effectively in a remote, agile environment.
• Strong communication and collaboration abilities.

• Develop and maintain financial models for forecasting, budgeting, and strategic planning.
• Prepare monthly, quarterly, and annual financial reports, including variance analysis and key performance indicators (KPIs).
• Analyze financial data to identify trends, risks, and opportunities for improvement.
• Assist in the preparation of the annual budget and periodic forecasts.
• Monitor financial performance against budget and forecast, providing explanations for variances.
• Conduct ad-hoc financial analysis to support business initiatives and decision-making.
• Collaborate with various departments to gather financial data and understand business operations.
• Evaluate the financial implications of new projects, investments, and business strategies.
• Ensure the accuracy and integrity of financial data used for analysis.
• Stay informed about economic and industry trends that may impact the company's financial performance.
• Support senior management with financial presentations and reports.
• Assist in the development and implementation of financial systems and processes.

• Bachelor's degree in Finance, Accounting, Economics, or a related quantitative field. A Master's degree or relevant professional certification (e.g., CFA, CMA) is a strong asset.
• Minimum of 3-5 years of experience in financial analysis, FP&A, or a related role.
• Proven experience in financial modeling, budgeting, and forecasting.
• Proficiency in Microsoft Excel (advanced functions, pivot tables, VLOOKUP) and financial modeling techniques.
• Familiarity with financial reporting software or ERP systems (e.g., SAP, Oracle, QuickBooks) is desirable.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills, with the ability to present financial information clearly.
• Detail-oriented with a high degree of accuracy.
• Ability to work independently and manage multiple tasks effectively.

Job Overview

We are seeking a proactive Financial Analyst to join our team in South Delhi, Delhi. This is a full-time, mid-level position ideal for candidates with a maximum of 6 years of work experience. The candidate will leverage their financial analysis skills to contribute to our business advisory projects, focusing on market research, balance sheet analysis, and more.

Work description: 

- analysing data inputs from the client 

- following up with clients for data and database management 

- summarising data and preparing reports as per requirement of the investment committee 

- assisting in legal, financial, tax diligence of clients 

- post investment data management and monitoring 

- navigating with third parties for timely closure of deals

- research on industries and market analysis 

Skills required:  

- analytical and high risk assessment capabilities 

- independently handling situations 

- understanding of AI tools preferred for making work flow smoother 

- vigilant 

- strong in financial analysis and balance sheet reading 

Experience - 2 yrs plus in banking/finance/credit rating roles preferred. Fresher CA also works with audit background

Qualifications- fresher CA/MBA finance with banking background/CFA with banking background 

Salary - CTC 7-9 lakhs p.a.

• Develop and maintain sophisticated financial models for forecasting, budgeting, and strategic planning.
• Conduct thorough variance analysis, identifying key drivers and providing actionable insights.
• Prepare detailed financial reports, dashboards, and presentations for senior leadership.
• Perform profitability analysis by product, customer, and region.
• Support the annual budgeting process and long-term financial planning.
• Evaluate potential investments, mergers, and acquisitions from a financial perspective.
• Monitor key financial metrics and provide regular updates on performance against targets.
• Collaborate with cross-functional teams to ensure data accuracy and alignment on financial objectives.
• Stay abreast of market trends, economic conditions, and regulatory changes impacting the financial landscape.

• Bachelor's degree in Finance, Accounting, Economics, or a related field. Master's degree or professional certification (CFA, CPA) preferred.
• Minimum of 5 years of progressive experience in financial analysis, corporate finance, or investment banking.
• Proven expertise in financial modeling, valuation techniques, and forecasting.
• Proficiency in financial software and advanced Excel skills. Experience with ERP systems (e.g., SAP, Oracle) is a plus.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong interpersonal and communication skills, with the ability to present complex financial information clearly and concisely.
• Ability to work effectively in a hybrid environment and manage time efficiently.

• Conduct comprehensive financial analysis, including variance analysis, profitability analysis, and trend analysis.
• Develop and maintain complex financial models for forecasting, budgeting, and long-range planning.
• Prepare detailed financial reports and presentations for senior management, highlighting key financial metrics and insights.
• Assist in the annual budgeting process and periodic re-forecasting activities.
• Monitor key financial performance indicators (KPIs) and provide actionable recommendations for improvement.
• Support strategic initiatives by conducting financial feasibility studies and valuation analyses.
• Collaborate with cross-functional teams to gather financial data and provide analytical support for their respective areas.
• Ensure the accuracy and integrity of financial data and reporting.
• Stay abreast of industry trends, economic conditions, and regulatory changes that may impact the company's financial performance.
• Identify opportunities for process improvements within the finance department and implement solutions.

• Bachelor's degree in Finance, Accounting, Economics, or a related field. Professional certification (e.g., CFA, CA) is a strong plus.
• Minimum of 5 years of experience in financial analysis, FP&A, or a related finance role.
• Proven experience in financial modeling, forecasting, and budgeting.
• Strong analytical and quantitative skills with a high degree of accuracy.
• Proficiency in financial software, ERP systems, and advanced Excel skills.
• Excellent communication and presentation skills, with the ability to articulate complex financial information clearly.
• Ability to work independently and collaboratively in a team environment.
• Strong understanding of accounting principles and financial reporting standards.
• Experience with business intelligence tools is advantageous.
• Must be comfortable working in a hybrid model, balancing remote and in-office responsibilities.