Fintech Data Scientist

3 weeks ago


sany, India TFO Full time
Overview As a FintechData Scientist at our company you will play a crucial role inleveraging data to provide insights that drive business strategyand decisionmaking. You will work on developing and implementingadvanced analytical models to solve complex business problemsparticularly in the financial technologysector.KeyResponsibilities
  • Utilize advanceddata mining and statistical techniques to analyze and interpretlarge datasets
  • Design and develop machinelearning models to address specific financialchallenges
  • Collaborate with crossfunctionalteams to identify prioritize and execute data scienceinitiatives
  • Enhance data collection proceduresto ensure accuracy and integrity of financialdata
  • Build predictive models and algorithms forrisk assessment and fraud detection
  • Conductexploratory data analysis to discover trends and patterns infinancial data
  • Develop and maintain scalabledata pipelines for efficient data processing andanalysis
  • Implement visualization techniques topresent findings and insights tostakeholders
  • Stay abreast of industry trendsand advancements in data science andfintech
  • Provide actionable recommendationsbased on datadriven insights
  • Collaborate withsoftware engineers to deploy and integrate datadrivensolutions
  • Contribute to the development ofdatadriven business strategies and productinnovations
  • Evaluate and recommend tools andtechnologies for data science andanalytics
  • Participate in the mentoring andknowledge sharing within the data scienceteam
  • Ensure compliance with regulatory andsecurity requirements in all datarelatedprocesses
RequiredQualifications
  • Masters or Ph.D. inComputer Science Statistics Mathematics Economics or relatedfield
  • Proven experience in applying datascience techniques to financialdomain
  • Proficiency in programming languagessuch as Python R or SQL
  • Strong understanding ofmachine learning algorithms andtechniques
  • Experience with big datatechnologies such as Hadoop Spark orHive
  • Expertise in data visualization tools suchas Tableau Power BI or D3.js
  • Solid knowledge ofstatistical methods and quantitativemodeling
  • Ability to communicate complexfindings and insights to nontechnicalstakeholders
  • Experience in working withlargescale financial datasets and realtime datastreams
  • Excellent problemsolving skills with akeen attention to detail
  • Ability to work in adynamic fastpaced environment and manage multiplepriorities
  • Familiarity with cloud platformslike Microsoft Azure is a plus
  • Strongcommitment to data integrity privacy and security bestpractices
  • Relevant certifications in datascience machine learning or finance isadvantageous
  • Understanding of financialregulatory frameworks and compliancerequirements

python,machinelearning,data analysis,statistics



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