We are seeking candidates with a strong interest and aptitude in applyingquantitative methodologies and data analytics for solving complex problems in theInvestments / Fintech world. You will be contributing to our mission of making itmuch simpler for start-ups and their customers to raise much needed capital andthereby catalysing financial inclusion. Since, Lend East is among the first to solvethis problem, you will be required to work on creative and pioneering analyticalsolutions.

You will be helping us develop models to measure and forecast the financialperformance and the underlying financial risks in the start ups that we invest in. Forour alternative lending portfolio, you will also be helping us develop models tosegment consumer or SME loans into heterogenous risk buckets and predictprobability of default, loss given default and expected credit loss measures.

1. Motivated to work in a Fintech start up.
2. Curiosity and the eagerness to learn and work collaboratively in a team.
3. Very strong problem-solving skills demonstrated in your academic learningand evaluated through case studies during our interview process.
4. Sound knowledge in Statistics, Stochastic modelling, Monte Carlo Simulation,Calculus, Linear & Matrix algebra, Machine Learning algorithms.
5. Basic understanding of financial securities, accounting, venture lending, creditrisk. If you have not majored in these topics, It is ok to have self-learnt.
6. Clear communication skills

Lend East was started by a team of former founders and operators whohave first-hand experience of the drawbacks created by the scarcity ofdebt capital. To solve this problem, we developed Spa{r}³k, an AI-drivendata research and analytics platform,to simplify investment research, riskand return benchmarking, and risk management. We want to revolutionisethe way technology ventures avail credit, by increasing investor trust andtransparency while minimising transaction friction – making it simpler thanever for institutional investors to invest in this upcoming asset class.

Asia’s first Cross Border Credit Analytics Platform, spa{r}³k, uses AI-drivendata research and analytics to make informed and effective creditdecisions, allowing us to build a curated portfolio of alternate loans andventure assets that offer our investors healthy risk-adjusted returns.

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An exciting opportunity to join a fast-growing start-up business based out of Singapore. As the Office Manager you will work closely with the Senior Leadership team and take responsibility for providing operational support across the business.

• Achieve financial objectives by preparing an annual budget; scheduling expenditures; reconciling bank statements and expense reports; variances; initiating corrective actions
• Liaison with external fund administrator to prepare and review fund accounts, facilitate transaction processing, cash flow management in compliance with internal policy and controls
• Responsible in employment matters including recruitment, work visa application.
• Coordination of employee on-boarding, payroll, and reimbursement claims, insurance etc
• Providing support to external consultants and manage a timely and effective audit
• Contribute to team effort by accomplishing related results as needed
• Other ad-hoc duties or assignments

• At least a bachelor’s degree/postgraduate diploma/professional degree in Finance/Accountancy/General Management or equivalent
• Working experience in investment management and/or startup a plus
• Must be process oriented, disciplined, and have attention to detail with an eye for accuracy.
• Good English written and verbal communication, problem-solving and analytical skills required.
• Ability to work independently and to adapt to a fast-changing environment.
• Proficiency in Microsoft Office including Excel and Word.
• Singapore Citizens/PRs are highly encouraged to apply

Lend East was started by a team of former founders and operators who have first-hand experience of the drawbacks created by the scarcity of debt capital. To solve this problem, we developed Spa{r}³k, an AI-driven data research and analytics platform, to simplify investment research, risk and return benchmarking, and risk management. We want to revolutionise the way technology ventures avail credit, by increasing investor trust and transparency while minimising transaction friction – making it simpler than ever for institutional investors to invest in this upcoming asset class.

Apply now