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Risk Analytics - Machine Learning Engineer

7.00 to 10.00 Years   Chennai   02 Jul, 2023
Job LocationChennai
EducationNot Mentioned
SalaryNot Mentioned
IndustryAdvertising / PR / Events
Functional AreaRisk Management
EmploymentTypeFull-time

Job Description

JOB DESCRIPTIONAre you ready to make an impact at DTCC Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development At DTCC, we are at the forefront of innovation in the financial markets. Were committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. Pay and Benefits:

  • Competitive compensation, including base pay and annual incentive
  • Comprehensive health and life insurance and well-being benefits, based on location
  • Pension / Retirement benefits
  • Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
  • DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).
The impact you will have in this role: The incumbent will be responsible for studying data, discovering the information hidden and help making smarter and better decisions for the Business. The primary focus of the role will be on applying text and data mining techniques, doing statistical analysis and building high quality and high-performance prediction systems integrated with the Risk applications. They will also have proven experience in data analysis, modeling and implementing solutions along with sound understanding of capital markets and financial risk domain to be able to recommend the best-fit model and solution approach. Your Primary Responsibilities:
  • Collaborate with cross functional teams to collate data
  • Enhancing data collection procedures to include information that is relevant for building analytical solutions
  • Analyze, extract and understand meaningful patterns from the large volumes / dimensions of historical data by utilizing analytics techniques and SMEs inputs
  • Design, develop, evaluate and implement high quality innovative predictive/prescriptive models using open source tools such as R, Python, or similar scripting within Apache Spark/AWS cloud based big data environment
  • Support the team in crafting/implementing novel approaches to solve challenging problems by demonstrating AI/ ML/NLP and Big Data/Cloud technologies
  • Collaborate closely with Business Partners/Analysts, Data Analysts, Application Development and other Data Scientists to integrate innovations and algorithms into useable data products
  • Doing ad-hoc analysis and presenting results in a concise manner
  • Aligns risk and control processes into day to day responsibilities to supervise and mitigate risk advances appropriately
Qualifications:
  • Minimum 7 years of related experience
  • Bachelors degree (preferred) or equivalent experience
Talents Needed for Success:
  • Minimum of 3-5 years of related experience in Data analysis, Data Science, Modeling
  • Experience withcPython, Big Data and Machine Learning Algorithms
  • Strong analytical and problem-solving skills
  • Phenomenal communication skills
  • Experience in Financial industry with focus on Risk Management is preferred
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. ABOUT THE TEAMOur Risk Management teams work to protect the safety and soundness of our systems and are responsible for identifying, managing, measuring and mitigating a spectrum of key risk types including credit, market, liquidity, systemic, operational and technology in all existing and new products, activities, processes and systems.

Keyskills :
PythonApplication DevelopmentApplication Development

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