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Current vacancies

  • Manager – Data Engineer

    India

    What job we expect you to do:

    • Connecting, designing, scheduling, and deploying data warehouse systems
    • Developing data pipelines and enable dash boards for stakeholders and
    • Develop, construct, test and maintain system architectures
    • Create best practices for data loading and extraction
    • Doing quick POCs for any data eccentric development task

    What skills we expect you to bring:

    • Strong programing skills, being well versed in Object-Oriented Programming system (OOPS), data structures, and algorithms
    • Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform
    • Should be comfortable with schema designing
    • Experience in distributed computing environment
    • Experience in structured/unstructured data and batch processing/real-time processing (good to have)
    • Be comfortable with SQL (mandatory), Python(mandatory), Scala (good to have) to manipulate and prepare data and conduct various analysis as needed
    • Reading\writing data to\from various sources – APIs, cloud storage, databases, big data platforms
    • Experience of working with Big Data environment such as Hadoop and the ecosystem
    • Data transformations and applying ML models
    • Creating web services to allow create, read, update and delete (CRUD) operations
    • Competent in project management framework such as Agile
    • Excellent communication skills, both written and verbal

     

    What expertise will bring added advantage?

    • Machine learning
    • Statistical Modelling
    • Natural Language Processing

    What Tools and Technologies we expect you to know?  We understand one cannot be master of all.

    • Python – pandas, django\flask, sklearn, scikit
    • SQL, BigQuery
    • Hadoop ecosystems (HDFS, HIVE, Mapreduce, Pig, Spark, Hadoop etc.)
    • Kafka
    • Apache Spark
    • Linux
    • Airflow

     How many years of experience you need?

    Minimum 5 years of relevant experience

    Where will be the job location?

    We are ready to welcome you at Noida and Gurgaon and also open for any other location in India

    Apply
  • Senior Manager - Data Analytics

    India

    Roles and responsibilities

    Specifically, Senior Managers should –

    • Understand the client objectives, and work with the Project Lead (PL) to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints
    • Organize/Prepare/Manage data and conduct quality checks to ensure that the analysis dataset is ready
    • Explore and implement various statistical and analytical techniques (including machine learning) like linear/non-linear Regression, Decision Trees, Segmentation, time series forecasting as well as machine learning algorithms like Random Forest, SVM, ANN, etc.
    • Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to junior analysts to ensure an error free output
    • Interpret the output in context of the client’s business and industry to identify trends and actionable insights
    • Be able to succinctly visualize the findings through a PPT, a BI dashboard (Tableau, Qlikview, etc.) and highlight the key takeaways from a business perspective
    • Be able to take client calls relatively independently, and interact with onsite leads (if applicable) on a daily basis
    • Discuss queries/certain sections of deliverable report over client calls or video conferences

    Client Management

    • Act as client lead and maintain client relationship; make independent key decisions related to client management
    • Be a part of deliverable discussions with clients over telephonic calls, and guide the project team on the next steps and way forward

    Most Important Requirements:

    • Superior problem solving abilities and strong analytical thinking
    • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
    • Excellent communication skills, both written and verbal
    • Solution orientation and self-drive

    Ideal Candidate

    • 8-10 years of relevant advanced analytics experience in Marketing, CRM, Pricing in either Retail, or CPG industries. Other B2C domains can be considered
    • Experience in managing, cleaning and analyzing large datasets using tools like Python, R or SAS
    • Experience in using multiple advanced analytics techniques or machine learning algorithms
    • Experience in handling client calls and working independently with clients
    • Understanding of consumer businesses such as Retail, CPG or Telecom
    • Knowledge of working across multiple data types and files like flat files, RDBMS files; multiple data platforms (SQL Server, Teradata, Hadoop, Spark); on premise or on the cloud
    • Knowledge of advanced statistical techniques like Decision trees, different types of regressions, clustering, Forecasting (ARIMA/X), ML, etc.

     Other Skills

    • Excellent communication skills (both written and oral)
    • Ability to create client ready deliverables in Excel and PowerPoint
    • Optimization techniques (linear, non-linear), and knowledge of supply chain
    • VBA, Excel Macro programming, Tableau, Qlikview

    Education 

    • Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities
    • MBA from top tier B-schools
    Apply
  • Senior Associate - Credit Research

    Noida

    Roles and responsibilities

    • Candidate will be working as Fixed Income Research analyst for the securities across the spectrum including Investment Grade, High-Yield, Municipal and distress debt. Should have strong written and verbal communications.
    • Preparing comprehensive financial models with forecasting based on in-depth study of operating statistics
    • Detailed debt structure, maturity schedule and liquidity analysis
    • Good understanding of financial covenants
    • Writing credit research notes / profiles on corporates
    • Relative Valuation and Industry research reports
    • Municipal issuers credit review report for general obligation and revenue bonds
    • Working on pilot projects with stringent timelines

    Ideal Candidate

    • Candidate should have relevant experience of at least 2-5 years
    • Candidate should have done MBA (finance) or CFA
    • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
    • Excellent communication skills, both written and verbal
    • Motivated, fast thinking, dynamic person with strong business acumen
    • Mature individual with a professional work ethic, and high degree of ownership and accountability
    Apply
  • Senior Associate - Equity Research

    Noida

    Roles and responsibilities

    • Candidate will be supporting buy-side/sell-side analysts focused on equity research projects such as building/maintaining financial models, writing investment thesis and conducting valuation (based on DCF, Relative Valuation, SoTP, etc.)
    • Preparing comprehensive financial models with forecasting and valuation based on understanding of company KPIs and industry drivers
    • Performing data-intensive tasks such as maintaining sector-specific databases, and preparing custom dashboards and database-driven screeners
    • Contributing to various kinds of equity reports including earnings notes, initiating coverage notes, sector notes, thematic notes
    • Supporting the client on ad-hoc research tasks relating to companies, sectors or theme s
    • Supporting the client in various product and process development projects
    • Relating latest developments in the capital market and sector to valuation of the coverage stocks
    • Communicating with the client team independently for daily tasks and ad-hoc requests
    • Contributing to or working on challenging pilot projects

    Ideal Candidate

    • Candidate should have relevant experience of at least 1-4 years in financial and/or investment research in a KPO or advisory Firm
    • The person should have completed MBA (Finance) or CFA or CA
    • Strong grasp of financial concepts and accounting and their application in financial analysis and valuation
    • Should possess experience in financial modelling, forecasting, valuation and writing investment research
    • Must possess expertise in using financial research databases (Bloomberg, Capital IQ, Thomson ONE)
    • Expert understanding of MS-Office tools particularly advanced Excel
    • Strong business acumen and problem solving skills
    • Excellent communication (both written and oral) and presentation skills
    • Aware of latest macroeconomic trends and their impact on global capital markets
    • Able to quickly develop understanding on new sectors and identify key drivers or risk factors
    • Desire to work in a fast paced, challenging environment
    • Mature individual with a professional work ethic, and high degree of ownership and accountability

     

    Apply
  • Inside Sales - Procurement & CSM

    Noida

    Roles and responsibilities

    The Inside Sales Specialist will be a key member of the Sales Development team at TSC. Candidate would assist in building the sales pipeline and contributing to the sales effort. The job involves identifying, organizing and qualifying leads that will later become prospects and
    eventually customers. The understanding of research and/or analytics services is vital. This is a challenging and interesting role and will require the candidate to be alert to the business realities in global markets and carry out the functions accordingly.

    • Understand the market dynamics, including client requirement, business models, key players, competition and our value proposition across segments.
    • Identify new customers/ opportunities within a given sales territory.
    • Study buying behaviour/ patterns of target companies
    • Leverage TSC’s standard solutions, packaged offerings, collateral and credentials to open conversations with targeted companies and send customized emails and compose relevant messages
    • Conduct effective cold call campaigns. Speak to C level executives and decision makers and be comfortable handling this.
    • Will be the first point of contact with clients – engage meaningfully, provide necessary information on our solution and help convert the lead into a prospect.
    • Will need to prepare and maintain a database of suspects. This will include research from the net, storing this information on spread-sheets etc. and timely updation into the Salesforce CRM.
    • “Adhere to GDPR as well as other prevailing company policies and procedures while delivering the duties”.
    • Must- have prior experience selling to the Procurement /or CSM vertical.

    Ideal Candidate

    • 2-4 years of total experience, with a minimum of 2 years of inside sales with an analytics and/or Research services for North American, APAC or European markets.
    • Excellent sales skills with very strong verbal and written communication ability.
    • Excellent skills with LinkedIn, Sales Navigator, Salesforce or similar prospecting tools
    • Familiarity with cold calling campaigns and follow up techniques.
    • Perseverant, with the ability to establish ‘contact’ quickly
    Apply
  • Assistant Manager - Data Engineer

    India

    Roles and Responsibilities 

    • Connecting, designing, scheduling, and deploying data warehouse systems
    • Developing data pipelines and enable dash boards for stakeholders and
    • Develop, construct, test and maintain system architectures
    • Create best practices for data loading and extraction
    • Doing quick POCs for any data eccentric development task

     

    Ideal candidate:

    • Minimum 4 years of relevant experience
    • Strong programing skills, being well versed in Object-Oriented Programming system (OOPS), data structures, and algorithms
    • Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform
    • Should be comfortable with schema designing
    • Experience in distributed computing environment
    • Experience in structured/unstructured data and batch processing/real-time processing (good to have)
    • Be comfortable with SQL (mandatory), Python(mandatory), Scala (good to have) to manipulate and prepare data and conduct various analysis as needed
    • Reading\writing data to\from various sources – APIs, cloud storage, databases, big data platforms
    • Experience of working with Big Data environment such as Hadoop and the ecosystem
    • Data transformations and applying ML models
    • Creating web services to allow create, read, update and delete (CRUD) operations
    • Competent in project management framework such as Agile
    • Excellent communication skills, both written and verbal

     

    What expertise will bring added advantage?

    • Machine learning
    • Statistical Modelling
    • Natural Language Processing

     

    What Tools and Technologies we expect you to know?  

    • Python – pandas, django\flask, sklearn, scikit
    • SQL, BigQuery
    • Hadoop ecosystems (HDFS, HIVE, Mapreduce, Pig, Spark, Hadoop etc.)
    • Kafka
    • Apache Spark
    • Linux
    • Airflow
    Apply