How to determine recruitment ROI to improve hiring Strategy?

We know trends come as quickly as they go – they are not tangible and leave no real result. There is no guarantee that the trends making the headlines today will still be as effective when the winds blow, or the tides turn. But strategies are foundational. Strategies hold structures. They allow us to build …

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Market Risk Analyst

We are hiring for a Market Risk Quant role with one of the Big 4 consulting firms. We are looking for professionals with expertise in Market Risk, FRTB, Model Development, Model Validation, and Pricing. In this role, you will work on developing and validating risk models, ensuring compliance with regulatory standards, and providing insights on pricing and risk management strategies.

Responsibilities

  • Validation/development of valuation models across asset classes – equities,
    commodities, rates, credit, mortgages
  • Development, testing and validating pricing models using
    C++/Python/R/client- proprietary tools
  • Basic understanding of Mathematics and statistics in terms of linear
    algebra, probability theory
  • Basic understanding of fixed income and equity derivatives, volatility
    surfaces, interest rate curve construction and Greeks
  • Good understanding of workings of a Bank (processes, Committees, systems
    etc.) and Banking products across fixed income, derivatives, retail etc.
  • Understanding of VaR and different VaR modelling and backtesting techniques
  • Understanding of statistical concepts/ time series modelling
  • Experience in Python/C++

Qualifications

  • 5+ years of relevant work experience
  • Bachelor’s/Master’s degree in Mathematics/Financial Engineering/Quantitative
    Finance/other quantitative disciplines with strong understanding of
    valuation theories/concepts
  • FRM/CQF/CFA certification would be a plus
  • Knowledge of programming languages (Excel VBA, Python, R etc.)
  • Strong quantitative background – experience in model development or
    validation a plus

GCP Data Engineer

We are seeking a highly skilled Senior Google BigQuery Data Engineer to lead the design, development, and optimization of our data platform. The ideal candidate will have a deep understanding of BigQuery’s architecture, capabilities, and best practices, including columnar storage, nested and repeated fields, and separation of compute and storage. 

Responsibilities

  • Architect, design, and implement scalable data solutions leveraging Google
    BigQuery as the core data warehouse platform, utilizing features such as
    partitioning, clustering, and materialized views for optimal performance.
  • Develop and optimize complex SQL queries and data pipelines using BigQuery
    for efficient data ingestion, transformation, and loading, including
    leveraging batch and streaming ingestion methods.
  • Utilize BigQuery ML or integrate with other GCP ML services to build
    predictive models and derive insights from data.
  • Implement data governance and security best practices within the BigQuery
    environment, including data encryption, access controls, and auditing.
  • Collaborate with data analysts and business stakeholders to understand data
    requirements and translate them into BigQuery-based solutions, considering
    factors like data volume, query complexity, and latency.
  • Mentor and guide junior data engineers in BigQuery best practices, including
    query optimization, performance tuning, and data modeling techniques.
  • Lead data warehousing projects focused on BigQuery implementation and
    optimization, considering cost-efficiency, scalability, and maintainability.

Qualifications

  • 12+ years of experience in data warehousing and business intelligence.
  • In-depth expertise in Google BigQuery, including advanced query optimization, performancetuning, and data modeling techniques.
  • Strong SQL skills and proficiency in Python or other scripting languages for data processing.
  • Proven experience in designing and implementing BigQuery data models and schemas,considering normalization, denormalization, and data partitioning strategies.
  • Hands-on experience with BigQuery data ingestion and extraction methods, including batchloading, streaming ingestion, and external tables.
  • Knowledge of other GCP services relevant to data engineering (e.g., Dataflow, Cloud Storage,Looker) and their integration with BigQuery.
  • Strong problem-solving, analytical, and communication skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Preferred: Google Cloud certifications (e.g., Certified Data Engineer) and experience withmachine learning or data science.

Workday Finance

We are seeking a skilled Workday Finance Consultant to join our team. In this role, you will be responsible for implementing and optimizing Workday Financials, assisting with financial reporting, budgeting, forecasting, and ensuring seamless integration with other business processes. The ideal candidate will have experience with Workday Finance, strong analytical skills, and the ability to collaborate with cross-functional teams.

Responsibilities

  • Collaborate with other members of the engagement team to plan the engagement and develop relevant workpapers/deliverables.
  • Would be required to execute Workday related audit and advisory engagements, as tabulated below
  • Pre & Post implementation review (configurations controls review, BBP Review, Go-Live strategy etc.)
  • System utilization review
  • Advisory related to above.
  • Data migration review,
  • Pre & Post Go-Live reviews,
  • Segregation of duties, SOD Ruleset review and design,
  • Workday Access Control and Process Controls review.
  • Is expected to demonstrate strong business process understanding and provide reasonable recommendation as per industry best practice.
  • Is expected to be a quick learner, adapt to new client situations quickly and work under a competitive environment
  • Would be responsible for ensuring quality and timely delivery of projects
  • Would be responsible to interact independently with various Head of Departments and CXO level personnel, Workday implementation partner, client IT teams and other stakeholders.
  • Is expected to maintain excellent client relationship
  • Must have problem solving skills, a strong drive and resilience and excellent documentation/ report writing skills
  • Supervise associates and interns on engagements

Qualifications

  • Minimum of 2 year of experience in any of the following areas:
  • Workday Financial Management implementation
  • Workday ERP audit and advisory,
  • Workday ERP security design/re-design,
  • Bachelor’s degree in an appropriate field from an accredited college/university
  • Hands-on Workday Financial Management and/or security implementation and/or effective Workday Financial Management audit experience, ideal candidate will have both
  • Project or team lead experience, specifically within a consulting firm is preferred
  • Excellent written and verbal communication, facilitation, and presentation skills with the ability to gain the confidence and respect of senior level executives
  • Strong analytical and problem solving skills
  • Ability to work well in teams
  • Ability to work under pressure – stringent deadlines and tough client conditions which may demand extended working hours
  • Willingness to travel within India or abroad for continuous long periods of time
  • Demonstrate integrity, values, principles, and work ethic and lead by example