Statistical Modeling Jobs

We are looking for a highly analytical Lead Process Engineer to drive operational excellence and process transformation within lending operations. The role involves leveraging advanced statistical methods, process intelligence, and AI-assisted tools to improve efficiency, reduce variation, and enable scalable business operations. This position also includes mentoring junior team members while collaborating with cross-functional stakeholders.Key Responsibilities:Lead end-to-end process improvement initiatives using DMAIC methodologyApply statistical analysis, DoE, and SPC techniques to enhance process performanceDesign and optimize operational workflows across lending value streamsBuild and maintain process intelligence dashboards for real-time insightsConduct FMEA-based risk assessments and implement mitigation strategiesDrive AI-assisted process improvements using GenAI tools and automation frameworksPerform capacity forecasting and time series modeling for scaling operationsCollaborate with Product, Data, and Operations teams for transformation initiativesPresent ROI-driven insights and business cases to senior stakeholdersMentor and develop Process Analysts and Junior EngineersRequired Skills & Qualifications:7-9 years of experience in process engineering, quality engineering, or operations improvementStrong expertise in Lean Six Sigma methodologies (DMAIC execution experience mandatory)Hands-on experience in statistical tools: DoE, SPC, regression, hypothesis testingExperience with process mining / intelligence tools (Power BI, Celonis, etc.)Proven experience in FMEA and risk assessment frameworksStrong capability in capacity planning and time series forecastingExposure to AI/GenAI tools in operational environmentsProficiency in Excel (advanced), Python or Minitab, and data visualization toolsStrong stakeholder management and communication skills

Hi,Are you ready to jumpstart your career in finance and stock market with a dynamic and innovative team? SR CAPITALS is thrilled to offer an exciting internship opportunity that will provide you with hands-on experience and valuable insights into the world of finance.About the work from home job/internship*Selected intern's day-to-day responsibilities include:* 1. Attend live stock market sessions, covering basic to advanced concepts (virtually)2. Apply theoretical knowledge to real-world scenarios, analyze market trends3. Complete assignments on time to reinforce learning and showcase skills4. Research companies, industries, and trends; prepare research reports5. Learn risk management techniques and portfolio-building strategies6. Network with experts, attend webinars and gain insights from professionals7. Stay updated with market developments and regulatory changes8. Uphold professionalism, ethical standards, and punctuality10. Seek feedback to improve skills and decision-making11. Develop a strong foundation in stock trading and investing12. No monetary investment requiredSend resume at 7004433982*Skill(s) required*Accounting Financial Modeling MS-Excel Earn certifications in these skillsLearn MS-Excel Learn Financial Modeling *Who can apply*Only those candidates can apply who:1. are available for the work-from-home job/internship 2. can start the work-from-home job/internship between 1st Aug'24 and 31st Aug'24 3. are available for 1 month 4. have relevant skills and interests *Perks*Stipend: Performance-based (up to Rs.10000)Additional Incentives: Certificate Letter of recommendation Flexible work hoursAt SR CAPITALS, we believe in fostering talent and providing opportunities for growth. This internship is your chance to dive into the finance world, learn from the best, and make a significant impact.Looking forward to having you on our team!

Job Openings for 2 Data Scientist Jobs with minimum 8 Years Experience in Hyderabad having Educational qualification of : M.Arch with Good knowledge in Data Scientist,Statistical Modeling,Data Mining,R, Python, SQL,,sas,Power BI etc.Experience with US healthcare claims data, able to analyze the 835/7

Data Cleaning & Formatting of unorganised data into required format using MS Excel techniques & Formulas. Predictive Analysis using the statistical tools to interpret the data, paying particular attention to trends & patterns that could be viable for diagnostic & predictive analytics efforts. Preparing reports,Presentations,Dashboards for management that effectively communicate trends,patterns & predictions using relevant data. Preparing & publishing reports to management & stakeholders to understand the SLA's. Designing & maintaining data systems & databases. Retrieving data from database servers using sql queries & preparing reports. Preparing & Publishing reports on daily,weekly,Fortnightly & Monthly basis to Management & clients.

Responsibilities:-Identifying and prioritizing business use cases - work with business-unit leaders to identify and prioritize problems that analytics is suited to solve.Collecting and preparing data - help identify the business data needed to produce the most useful insights. Understand the data sources and availability for model development.Building the analytics engine - ensure the solution solves the business problem in the most efficient and interpretable form for business users.Guiding the data scientist help the data scientists to understand the business problem and design a suitable solution/ model to solve it.Validating and deriving business implications - synthesize complex analytics-derived insights into easy-to-understand, actionable recommendations that business users can easily extract and execute on.Implementing the solution and executing on insights - drive adoption among business users. Oversee the development of application to use the model and increase its adoption by internal marketing and incentives to the users.Requirements:- Qualification - MBA/ PGDM from a reputed institute. Engineering in Information Technology is preferred. Experience 3-6 years of experience in a similar role with a leading bank / NBFC / E Commerce / Telecom Company is requiredDomain knowledge good understanding of key operational metrics of the business and their impact on profit and loss, revenue, customer retention, and so on. Additionally, knowledge of common use cases (e.g., default predictions, segmentation etc.) in banking and financial services/ telecom/ e-commerce is important.General technical fluency must possess strong acumen in quantitative analytics and structured problem solving. Working knowledge of R/ SAS/ Pythons.

ML-Ops Details Need to have - DevOps (Intermediate), Python (Expert), PySpark (Expert), DataBricks (Intermediate), Rest APIs (Intermediate), SQL (expert), Automation (Intermediate)Good to have - Azure Repos/GitHub/ CI/CDExp - 3 to 6 years

Mandatory Skills-ML-OPS-Azure Databricks-Python-Pyspark-Devops-Automation-Rest API-SQL