Team Overview :
The Risk engine group is responsible for designing, development and level 3 support for the risk calculation engines within the Risk & Technology group.
This group is primarily focused on the calculation, aggregation and reporting of the risk analytics across wholesale and retail credit risk.
IRIS is hiring a Senior Information Technology Business Consultant. The right candidate will be working on projects based in a risk environment and will be part of a small group that handles Credit Risk VAR globally
The role will lead the quantitative and analytic modelling for the following products : OTC derivatives (Interest rates, equity Derivative, commodity, foreign exchange and CDS.
mortgages, cards and loans.
Exposure to some of the techniques like : Potential exposure, Collateralized Potential Exposure, and Credit loss Projection.
Experience in providing thought leadership AND experience in being part of the risk group think tank in addition to people management and complex project management.
Confer with clients to identify and document requirements
Conduct business and technical studies
Design, develop, integrate and implement information systems business solutions
Provide advice on information systems strategy, policy, management, security and service delivery
The successful candidate should be familiar with banking risk management policy and regulatory requirement.
Professionals should come from Credit Risk background ideally with Quant Modelling knowledge. They should have CVA domain expertise in CCAR, Basel and VAR.
Background in implementation and testing new features for VAR Calculation Service application module.
Leadership and managerial skills : This includes Strategic thinking, collaborating, problem solving and decision making, planning, meeting management, delegation and communications.
Experience Using Agile methodology (SCRUM) for developing new features for risk application, with each SPRINT lasting for 2-
3 weeks. Active Involvement in analysis, specification, design, implementation and testing phases of Software Development Life Cycle (SDLC).
10 plus years of Quantitative Risk Management, Capital Markets, & Credit Risk experience
The successful candidate should have experience in managing a diverse and dynamic team consisting of quant professionals located in three to four centers worldwide consisting of data scientist, Machine learning experts.
Expert knowledge and a minimum of 10 years’ experience in Object oriented programming for Capital Markets.
Experience working on distributed system and handling & processing of large scale data(trades, risk, market data etc)
Experience working with in-memory caching solutions (in-house built) or vendor-based products
Able to troubleshoot problems in multiple environments in a stack with diverse technology
Minimum 5 years of experience working and coordinating with diverse global teams consisting of quant developers, data scientist and machine learning experts.
Experience Using Complex algorithms Monte-Carlo simulation, historical simulation for enhancing and developing new features for risk application using relevant technology and language
Experience in two or more programming languages like Python.
Exposure to Big Data technologies / Hadoop technologies.
Knowledge and experience working with Apache Hadoop, Spark, Hive, HBase, Sqoop and / or any related vendor-based big data products such as Pivotal Hawq / Greenplum, Cloudera Impala
Knowledge and experience of working in Python using scientific and data analysis libraries.
Business and work location : 161 Bay Street, Toronto, ON M5J 2S1, Canada
Hours of work : 40 hours per week
Salary : $100,000 - $110,000 per annum
Benefits : Eligible for bonuses and / or salary increases in accordance with company policy.
Medical, Dental, Employee Life, Dependent Life, AD&D, Vacation, Sick leave, National Holidays
Contact : Stanley.mohan irissoftware.com
Bachelors or Masters in Computer Science or Mathematics background preferred