Risk Analytics Job Description

Risk Analytics Job Description

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Risk analytics provides insight from multiple raw and refined data sources using various analytics tools like SAS, R, Python, SQL, etc.

Risk Analytics Duties & Responsibilities

To write an effective risk analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included risk analytics job description templates that you can modify and use.

Sample responsibilities for this position include:

Systematically detect quality issues using programming languages and statistical packages such as R, SQL, Python, Spark
Design, build and deliver automated report delivery and MI solutions using Qlikview, Excel VBA and SQL Server solution
Program, test and implement quantitative financial methods using C++, VBA, Matlab, and SQL
Applying MATLAB/R/VBA and other tools as appropriate to estimate parameters and conduct goodness-of-fit tests to support the selection of the distributions
The position requires the ability to undertake research, modelling, development and analysis to ensure appropriate modelling and capture of risk, regulatory capital calculation, ongoing compliance with regulatory requirements, the ability to communicate effectively
Interpret the applicable regulation rules and design implementation plans specific to the firm's status quo
Effective talent management of a team of 10-15 individuals
Communicating complex risk methodology and analytic concepts effectively in both written and verbal form
Conduct high quality research in operational risk modeling using statistics and other mathematical theory and tools
Finding ways to create capacity within the team to continue being able to both improve our ability to respond to stakeholder needs and centralize processes

Risk Analytics Qualifications

Qualifications for a job description may include education, certification, and experience.

Licensing or Certifications for Risk Analytics

List any licenses or certifications required by the position: CFA, FRM, CQF, PRM, ACAMS, PMP, CPA, CIA, SAS, SIEM

Education for Risk Analytics

Typically a job would require a certain level of education.

Employers hiring for the risk analytics job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Economics, Mathematics, Computer Science, Finance, Engineering, Business, Graduate, Math, Management

Skills for Risk Analytics

Desired skills for risk analytics include:

SQL
SAS
Python
R
Experience with single-family mortgage credit risk data
Preferably related to GSEs
Excel
Bonds
Regulations
Beta and VaR would be an advantage

Desired experience for risk analytics includes:

A self-starter with an understanding MS Office, good organizational skills, experience working in a diverse, fast-paced financial institution and prior work experience are required
In-depth knowledge of mathematical finance, derivatives pricing, and numerical techniques for derivatives valuation (Monte Carlo simulation, partial differential equations, numerical analysis, probability theory)
Detail-oriented, ability to think out-of-box, and provide effective challenge to models
Ability to work under time pressures and ambiguity
Working knowledge of market risk, credit risk, independent price verification, P&L and collateral management with subject matter expertise across disciplines
Knowledge of Bloomberg, Summit, Calypso, Murex, Wallstreet

Risk Analytics Examples

1

Risk Analytics Job Description

Job Description Example
Our company is growing rapidly and is hiring for a risk analytics. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for risk analytics
  • Keeps the customer up-to-date and informed of programe
  • You will develop tools needed to analyse internal and external Operational Risk data, use the data to calibrate models that describe appropriate frequency and severity distributions with the aim to quantify Operational Risk Regulatory and Economic Capital, and perform backtesting
  • Conducting capital approximation, capital simulation, BEICF, and scenario capital simulation
  • Supporting upgrades to the ORAMA model on server under Change Management Policy
  • You will review approaches and assumptions around Business Risk and Fixed Asset Risk modeling
  • Validate, research and analyze data to frame and answer analytical questions
  • Working closely with the Business Development and Investor Relations team in the completion of ad hoc investor and due diligence requests
  • Verifying the accuracy and completion of the asset level performance attribution file across the private credit platform
  • Supervising data integrity for security master and reference data
  • Participating in technology initiatives
Qualifications for risk analytics
  • Articulate technical design & solutions to non-technical / business users
  • Writing Unit test cases (JUnit), documenting technical design and other operational procedures [sharepoint]
  • Experience in risk management, both banking and trading book products and various types of financial instruments
  • Financial services background not required
  • Professional experience of 6-9 years with demonstrated impact, performing data analyses
  • Masters degree in a quantitative discipline like Engineering, Physics, Mathematics, Statistics, Operations Research or Computer Science (top tier institutes preferred)
2

Risk Analytics Job Description

Job Description Example
Our innovative and growing company is looking for a risk analytics. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for risk analytics
  • Analyzing and explaining Mortgage-Related Assets
  • Apply stochastic and econometric techniques to support methodology development and validation
  • Oversee daily production of all market risk models
  • Advise clients on a wide range of wide range of risk analytics solutions
  • Calculation of the main indexes noted related to Risk measurement
  • Development of the PD, LGD, EAD models in the laboratory and RWA calculation
  • Use of quantitative methodologies for Governance Risk Control (GRC)
  • Provide support of the statistical models developed in Market Risk, assisting with model updates and development enhancements
  • Interaction with internal stakeholders, front office, risk and credit officers
  • Extraction and pre-processing of very big size transactional data
Qualifications for risk analytics
  • Extensive programming experience in multiple programming languages and aptitude to learn new software/tools quickly
  • Ideal candidate should demonstrate history of critical and analytical thinking including problem solving, attention to detail, ability to handle shifting priorities/deadlines and multi-tasking
  • Strong analytical orientation and experience
  • Experience and willingness to work across time zones
  • Good knowledge of the credit risk models existing in the market, experience in statistical modeling and model validation
  • MS in Statistics, Computer Science, Operational Research or other quantitative field (PhD preferred)
3

Risk Analytics Job Description

Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of risk analytics. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for risk analytics
  • Data/modeling exploration and visualization
  • Leveraging or enhancing a code library for commonly leveraged testing routines
  • Production of required documentation to substantiate model validation
  • Completion of historical and/or analytical research in response to requests or assignments
  • Working with very large datasets and data appliances (such as Hadoop, Spark)
  • Design and build models and analytical tools for use in measuring and monitoring risk exposures and enhancing understanding of the risks and trends impacting the strength of the company
  • Develop an effective risk reporting package designed to enable deliberate risk decisions
  • Engage and coordinate with partner organizations within the company on development of models and methods to manage risk effectively
  • Provide guidance to associates within the company on best-practice development and use of models
  • Perform in-depth analysis to refine the assumptions and methodologies related to the determinations of the stress scenarios applied to the risk factors used in the calculations of IC & MBEV
Qualifications for risk analytics
  • Minimum 5+ year people management, technical leadership and cross department functional experience
  • Design, Development of various modules and models involved in the Market and Credit risk projects
  • Expert knowledge and a minimum of 3 years� commercial experience as a Java/Python orC# developer
  • In depth knowledge of concurrency / threading, profiling, memory footprint
  • Experience working in Capital markets and understanding of various financial products / asset classes
  • Able to troubleshoot problems in multiple environments in a stack with diverse technology
4

Risk Analytics Job Description

Job Description Example
Our innovative and growing company is looking to fill the role of risk analytics. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for risk analytics
  • Design and develop highly available dashboards and metrics using SQL and Tableau
  • Collaborate with other ERM functions, Actuarial, Finance in the review and socialization of the IC/MBEV results
  • Document related IC/MBEV models in compliance with the internal documentation standard and support the Model Validation Group (MVG) on model validation efforts
  • Take ownership of our Data Strategy, with the key aim being to improve the quality of data we hold
  • Ensure robust capital reporting month end close process to provide timely and accurate reporting and supporting the team to achieve the same
  • Develop, monitor and mentor a set of key performance indicators to drive process efficiency
  • Review & support for the preparation of adjustment and analysis produced by the team in Noida
  • Ensure the controls are operating effectively at all time
  • Ensure reporting issues are reported and resolved on a timely basis by supporting the team both from functional and technical standpoint
  • Support the team quarterly / Ad hoc system changes and UAT
Qualifications for risk analytics
  • Capital markets, Market & Credit Risk experience
  • 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 working in Python using scientific and data analysis libraries
  • 1+ years experience, or equivalent education, in the credit, collections, marketing, and/or utility analytics arena
  • Knowledge of demographic and credit bureau data desirable
  • Experience working with large datasets desirable
5

Risk Analytics Job Description

Job Description Example
Our company is looking for a risk analytics. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for risk analytics
  • Identify and manage potential issues and risks associated with monthly run
  • Adhere to working day timetable
  • Perform sensitivity/scenario analyses by segments, individual product lines, and across the consumer lending portfolio
  • Develop new risk scorecard models based on external and internal data
  • Oversee documentation and process mapping of rules and workflows in the Loan Origination System (LOS) and Decision Engine external integration points
  • Primary responsibility for developing and maintaining models, data and reports for use in updating monthly and quarterly claim forecasts, accrual accounting, claim development and trending
  • Collaborate with risk analytics team to implement Stress Testing System enhancements
  • Responsible to analyze model input data and create model input automation specifications
  • Create and maintain business and technical solution documentation
  • Deliver high quality data-driven analyses that provide key insights leading to actionable
Qualifications for risk analytics
  • Experience with SAS, ideally within a UNIX environment
  • Experience with R, WPS and other statistical packages a plus
  • Experience in PMML preferred
  • Progress towards MBA or related advanced degree
  • Secondary mortgage markets and derivatives experience
  • Understanding of Risk Management principles and the use of statistical models therein

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